{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 加载数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams['font.family'] = 'Microsoft YaHei'\n",
    "plt.rcParams['figure.dpi']=150"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from matplotlib import font_manager\n",
    "\n",
    "# for font in font_manager.fontManager.ttflist:\n",
    "#     # 查看字体名以及对应的字体文件名\n",
    "#     print(font.name, '-', font.fname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>72</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66</td>\n",
       "      <td>195</td>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2785</td>\n",
       "      <td>62</td>\n",
       "      <td>170</td>\n",
       "      <td>72.599998</td>\n",
       "      <td>25.120001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>70</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78</td>\n",
       "      <td>225</td>\n",
       "      <td>74</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>7</td>\n",
       "      <td>60</td>\n",
       "      <td>3133</td>\n",
       "      <td>68</td>\n",
       "      <td>174</td>\n",
       "      <td>52.700001</td>\n",
       "      <td>17.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>74</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70</td>\n",
       "      <td>218</td>\n",
       "      <td>70</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3901</td>\n",
       "      <td>80</td>\n",
       "      <td>169</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>16.280001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>68</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74</td>\n",
       "      <td>206</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4946</td>\n",
       "      <td>100</td>\n",
       "      <td>183</td>\n",
       "      <td>79.699997</td>\n",
       "      <td>23.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>85</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>9</td>\n",
       "      <td>68</td>\n",
       "      <td>3538</td>\n",
       "      <td>74</td>\n",
       "      <td>171</td>\n",
       "      <td>54.700001</td>\n",
       "      <td>18.709999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0   1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1   1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2   1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3   1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4   1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "\n",
       "   男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0      0  2785      62  170  72.599998  25.120001  \n",
       "1     60  3133      68  174  52.700001  17.410000  \n",
       "2      0  3901      80  169  46.500000  16.280001  \n",
       "3      0  4946     100  183  79.699997  23.799999  \n",
       "4     68  3538      74  171  54.700001  18.709999  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score_m = pd.read_excel('./体测分数_男生.xls')\n",
    "score_m.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>100</td>\n",
       "      <td>9.32</td>\n",
       "      <td>72</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
       "      <td>16</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>85</td>\n",
       "      <td>3775</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.299999</td>\n",
       "      <td>19.309999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>40</td>\n",
       "      <td>11.44</td>\n",
       "      <td>10</td>\n",
       "      <td>148</td>\n",
       "      <td>60</td>\n",
       "      <td>9</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>66</td>\n",
       "      <td>3683</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.599998</td>\n",
       "      <td>25.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80</td>\n",
       "      <td>13.40</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>3331</td>\n",
       "      <td>100</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>24.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>85</td>\n",
       "      <td>9.52</td>\n",
       "      <td>70</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>3701</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.700001</td>\n",
       "      <td>19.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>80</td>\n",
       "      <td>9.79</td>\n",
       "      <td>68</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>64</td>\n",
       "      <td>34</td>\n",
       "      <td>70</td>\n",
       "      <td>3592</td>\n",
       "      <td>100</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22.910000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0   1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1   1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2   1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3   1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4   1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "\n",
       "   女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0     85  3775     100  163.0  51.299999  19.309999  \n",
       "1     66  3683     100  163.0  66.599998  25.070000  \n",
       "2     76  3331     100  157.0  60.000000  24.340000  \n",
       "3     85  3701     100  160.0  50.700001  19.799999  \n",
       "4     70  3592     100  167.0  63.900002  22.910000  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score_f = pd.read_excel('./体测分数_女生.xls')\n",
    "score_f.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 对男1000米跑、男引体进行等宽分箱操作，分成3份，并使用饼图绘制百分比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def title(name):\n",
    "    plt.title(name,pad=10, fontsize=14,backgroundcolor='#c5b783', color='white',)\n",
    "    return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = pd.cut(score_m['男1000米跑分数'],bins = 3,labels=['0~33.3分','33.3~66.6分','66.6~100分']).value_counts()\n",
    "plt.pie(data,labels=data.index,\n",
    "            autopct = '%0.1f%%',\n",
    "            textprops = {'fontsize':12})\n",
    "title('男1000米跑各分数段的比例')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'title' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_2568/3853551838.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      3\u001b[0m             \u001b[0mautopct\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'%0.1f%%'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m             textprops = {'fontsize':12})\n\u001b[1;32m----> 5\u001b[1;33m \u001b[0mtitle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'男引体各分数段的比例'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'title' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = pd.cut(score_m['男引体分数'],bins = 3,labels=['0~33.3分','33.3~66.6分','66.6~100分']).value_counts()\n",
    "plt.pie(data,labels=data.index,\n",
    "            autopct = '%0.1f%%',\n",
    "            textprops = {'fontsize':12})\n",
    "title('男引体各分数段的比例')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(score_f['女800米跑分数'],bins = 4,range=(0, 100))\n",
    "_=plt.xticks(range(0,101,25))\n",
    "# 看图可知 75~ 100分的女生人数最多"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(score_f['女跳远分数'],bins = 4,range=(0, 100))\n",
    "_=plt.xticks(range(0,101,25))\n",
    "# 看图可知 75~ 100分的女生人数最多"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 使用嵌套饼图对比男女生体重指数进行比例统计，分为正常、低体重、超重、肥胖"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "正常     354\n",
       "超重      61\n",
       "肥胖      38\n",
       "低体重     13\n",
       "Name: BMI, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BMI_m = pd.cut(score_m['BMI'],bins = [0,16.4,23.2,26.3,100],\n",
    "                 labels=['低体重','正常','超重','肥胖']).value_counts()\n",
    "BMI_m "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "正常     441\n",
       "超重      85\n",
       "肥胖      52\n",
       "低体重      8\n",
       "Name: BMI, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BMI_f  = pd.cut(score_f['BMI'],bins = [0,16.4,22.7,25.2,100],\n",
    "                 labels=['低体重','正常','超重','肥胖']).value_counts()\n",
    "BMI_f "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "BMI_data=pd.DataFrame({'male':BMI_m,'female':BMI_f})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>male</th>\n",
       "      <th>female</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>正常</th>\n",
       "      <td>354</td>\n",
       "      <td>441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>超重</th>\n",
       "      <td>61</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>肥胖</th>\n",
       "      <td>38</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>低体重</th>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     male  female\n",
       "正常    354     441\n",
       "超重     61      85\n",
       "肥胖     38      52\n",
       "低体重    13       8"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BMI_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0aGyYzDHBKWpNtTuJpopaUiBj3dXfNaggTrTmLL1Kd3tXezVH971If1/4C5Keptrt5JWux2iykF24WjcosFjtwSz9lvo9g7qAR5tiMJGQXEBCSiHtzYe02RyjxBafQemiS4IZ9001Ozi6/6VBwwCqqlJ9eAN93U3MWnIF2YWrAGis3kZvVz1xCVnY7BnYk/IGTfEbuOh63I6IF1PV7x92YavMvGWAlqtwcOcTQyb/GQwm8ktPB6C+chNJaSUhxwwkXIZMmVQUbHHaehHDTTI8PtixWO0sO/1mQPvZ9QVmYpQsuJjM/OXB4ZeM3KVkFazCYDRhMJq1oZ8wyccGo4nShZcEhxGcjo5BVTKtsYmsPPPrgx7j9fQPeXe/+NQbgr/PgzufGNZrFlOfBAXjwOfzhEyNGglFMQTHySejjNxlGIwm/H4fTbU7hjxeUQxkBMZXWxr2jmpbElMKWH76zXS0HuHI3heiTsryepy01O8hq2AlcfZMElIK6W6vGnRMVuGq4Bt1Q9XmUW03QJw9E2Ng7HtgXBq0N31HTxPF8y8IjksPV+XBN2gO/G6SM2ZjT8rD7erlyN4XIt5ttzUdwL2ll5IFF1J75F28nn7tIhZo24lrfAwEGr1d9SNq51CaanZQceCVqKbZJWfM0aoJuvpoqNocEhTYk/KIT8xB9fuD+RbBfYm5GIwmfD5PSDXI4SiefwEmkxVXfxdVx+eqKEpwqrGiGLDZ0yOex+3qxevux+dzYU/KIzG1iIzcpVEN1QkRDQkKxlBXWyUeVy9NtbvoatPvSs8tOS0wnr0vZEz2RDZ7Bnklp53U1LexowTvttqaykKSpPSkZMwN1uZvqRtZUZstb/4xWLxIUQyYLXHEJ+WSXbCKxNQiktNKWXzqDeze+M+oF5RpqNpMZv4KFEV7TccHBQaDKThE0tl6NGLX+HCkZS8kJWMOialFg5ZEVhQFv89LV0cVzkD1PYPBPOI1NY6/66w7+j6KYqCxeiteTz8AsXFpzF95LR0t5Xzw6q8HBbM9nTXs2nj3oPN1tVUCEJ+YgzU2MXjXnxyYDTCSIaGhHN797LAKTHV3VKP6/VQf3qCbGDeQH9HWdACzJY7ZS66kfM9zuPo7g7Ma+roahr2w0IDUrPnBnqUj+14YVGCquW4XWfkrcDt76Hd0YLbYsMWn0dlaQeXB1/F5Xfh9Hlaf820A9m99KNhbNHf5NaRmzqNw7rm0Nx/G65mM7wtiqpGgYAzVHnk34n6T2UZhYGnazrajQOSgwNHTzKFdT41W80ZVata8YGJVw3HJT+Ep5AVKv/Z01g67m1+Pqvpxu3pobyqjvamMWYuvICN3CdaYBArnnEP53uimk/X3tdHZeoTk9FmkZMwZdLFLz10SrM8wmr0EWQWrdFfUrCl/h7qKD3QvZvWVH2oFcaIQbhGpE/9Gi+dfQIwtGZM5NqreLVd/Z7AaZGrmfOorN2GLTyc2LgUgpMbCaNArOhSJx9VLQ/VW3d6r9JwlJCTna0FD+dsUz7uQxJRClq77POV7ng0GN53DfM4BFqudkgUXA1rvxol5Nr2ddWx67bfBQKFo3gXY4tNw9nccGyoKsz5C9aENJKfPDpRjlgWPxOiQoGACDVxEgXFbMGisZAcyu/1+L/GJ2Th6miN27WYVrgpOaas+PLKVCYdSdfAN0nMWayvGZc2Dvc8T7ZtnQ9VmktNnoSgGsgpWUXXwDeDY2HN/X9uoLvnrdnbj83nobCmntWEf+bPPxBafrv0cx2jaV3rOYvJnnxn8XkEJ/k0mphax4syv6T7u0M6nBmXHtzUeIK/0NDLzV1Bf+SGZ+SsAcPS24OhtGZO2D1dlmf5U14GhhMaabTj72jm060lmL7mKlIzZzFvx8eBxI1nlU1GMzFn2EcwWG05HBxWBNpit8cTGpRJrS9HWoDiu52BgJslAz00k/X2tbH/7z1EXMhIiGhIUjIHCueeSW7x2WI8Z6B4cjq1v3T5J3hAUutoqiY1LxWyxUbLgYvJLz6Chekuga3pwIp41NpGCWdrFqKP58LDv/KLlcffhcfdhscZjMmlrxEc7hNDZehRHTws2ezoZucuoPryBhOSC4Op6DVVbRrWtNeXvUr73+WAAMFBoaCwZTVZiYpN091ms4aslnpj41ly3k9ySdcTGpZCVv4KMwFoQozU7Yiwd3f8yFms8VYfeBMDndVG2/RHyZ51JXul6FEXB0dMyomGiwrnnBHt//H4fi0+5gRhbcjAvSFX9IbkAlhitHHg0w2/AJPn/F9OJBAVT2OTJLVCpKX+buoqNZOYtI7voFGJikyiYfRa5xetoqt1BfeWHuJ3dGE0xzF95HSZzDD6vi4qD0XV/j9TxxVeGe8fdULWZ0kWXYrbEkpo5L7guhdfjHPXErtEYPhmuxuqtwUqb+bPOIH/WGfT1NGl5AydMBYxPymXxKTfg97npO2EGhNPRERxuKZ5/IYrBgM/rprF6/KdqDkjPWUx/X9uQiY4+rzOkCBBAS/1uckvWoigmGmuiW3o75NzH/b3Z4rUZDF5PP71dDVrSaG9zSJ7CwBTCofKLhBgrEhSMgaqDbwS7myNZfOqN2JNyhzU2PLBYitfjHFQCdTLw+zw0VG2hoXor6dmLyC05LVCO9xSyClbR2rCPmMBa9qqqcnj3Mzj7op/7PVwJyQXB7linozPi2gd6Wur3UDDnbMwWG5n5K4hPzAGguXbnpKjkNtRyutGKjU8jt2SdNn9+74uhFQEVhdKFl6AoCg3VW4NL/x6v5vDb2nBLoOaE1kN08kGrXqXEaGQVrMKelEtrw74R5eEUzT0Pg8GE19NPc93wltIe0N50EFQVp6Od/r52nI72iMMCZktcMChwjFICqxDDJUHBBElKK8GelAsQsn59JAOrDbqj7F6cEKpKS/0eWur3kJq1gLyS04hLyBxUd765btewXvdwWWISKF106XHPt3PY5/D7vTTVaHULBpL0VNVPQ/XoDh2MlMfdH/VwiDU2UVuYS0fh7LO11RP9frILV1FX4Rm0Ml/J/AuJs2fi6u+i9sh7uufo72vD4+oLzibpGMbqjXpibMnkFq/DYDRFXA8knIFk0IHFo4YjJXMeKZlzAaiv+HDEAWBfd0OwHkE0BnqiXM7uiKWhj2dPzic1cy6tjQcGLaw0lNj4NOyJeSP6vxDTmwQFEyA2LpVZgQVXutqrQ+bBRzKQCHZiyVVrTCKliy7j6P6XhlV5baxp07xsFM07f9BYdGbeMsyWOGrK3xnWG+eJjq9oCAomcyz2pFzSchYdt6RxPXUVH4zo/A3VW8kpXhtse3vToUmTFNpSv/ukZx8AHNr1FJn5K8gtXhssoNXReoT6ik0kpRaTVbAKv9/HwV1Phr1Azll6dTAgAJi1+DL2fPCvYQ9x2eyZ5JWsIzVzPorBQEdz5EqF4QyMzQ+3IJY1NpFZgWDS1d9FfeWmkGNqyt+hpvydYbdJq0OQSXxiNvGJOcQnZFN79L1A0Scl2OsznNccY0smp+hUMvNW8OHrv42iDUbySteTW7KO9qYwi12JGU2CgnGWnD6LWYsvx2yJw+N2UL7n2WE9fmBdgRPf7OYu/yjxiTksWXsjB3c+OWbJe9FSFANp2YvIKz0t2Gavp5/6ig9JzV5AnD2DlIzZpGTMpr35UCA4GH5xmHAVDQe0Nx+ifM+zIy4e5XH10tZ4gPScRcDYFCuaaH6/l4aqzTTVbA8GB8lppYMWeDq8+5mwd6KzFl1OcoZ2l9vZVkFSajExsUksWPUp9m15IKphhKS0EnKKTh1UWMjj7qervXLYr8ditQdXOxxOFUKjycq85R/DZNbKM1eUvRpVcSQ9BoOJ+MQcbAmZxNuzsCVkYotPD0nSHBiKyZ91OjZ7+rB7osxmrUckmoTDhJRCShZcHMxvGGndBTG9SVAwTmzx6eTPPovUQLek29VL2bZHou4mBK2uwcAa7ydeQA/veZYFKz+BNTaR+Suv4+i+lybkLsAWn67dbeYuGZTB3tqwj8qy13G7eqg9+h5p2YsomH0mMbZkUjLmkJIxh/amg1pwcBKlfH1eN25XLz2dtbTU7R7RReVE9ZUfkp6ziN7uxpC6+GNloMrdeM4+HwgOvF4npQsvHXQBK5xzNmZzLM11u4IXSkUxULrosuCwUHPdbsr3PEv+7LPIL11PXEImi065nrIdj4bkjgwMg5ktNpat/1JwVgdAX08zDVWbaa3fG3yu44M6kzkm4kUwLuHYSoHRTok0GEzMX3ldcJpsc+2uwPz/6BgDvVIDazXExKWy6JTrBx3j9Tjpbq+mp7OW3q56ervq8LgdZBeuIW+gDHPFptCZDqqKqqooihISVAz0zuglJg4ENwDF8y8MBlw+r4vqw2+P+gwaMT1IUDCGTOZYUjLmkJ67ZFDXbWdbBUf2Ph/SDW22xpOaOVdbaMbdj9/n1t4UVW2J2bzS9ZhMVvx+X8h4fH9vK3s2/TvwxpbJrMWXYbbGRVw5blQoCvbE3EChn7mDyrSqqkpn6xFqDr9N7wlDBK0Ne2lr3E9G3jLyStdjjUkgJXMuKZlzaWsqo6b83bB1/iMtoDMclWWvRdX93tfdENVqcOV7nqN8T+QCSeHOY4lJwGAw4vN5sMWnExPoXYmUM5BVsDI4/W8oRmPk8tgGg4nU7AXkFK4JXhh7OuvobD1CduEaYmzJlCy8mJziU9nx7p0YjGbmLb+GxNQiQKtVMPDaaw5vwGyxkZW/Alt8GkvW3kTF/peD6wqYrfHBngWTOSZYnbGrrZK6io26C2m5jitTnVu6nupDb+rkCyjExqUGKxS6nT309w7dU2C22Ji34tpgjo+jp4WjB14Je3xCSiGKYsTndeL3ebXFs7IXAMfqCzh6mujuqMHt7Ka7vZruzppBeRoDP4c5yz5CWpb22I6WI2FrdrhdPVhjEkjLXqjVrggsxTxQKfHEcwPBxFg4Vo+ho/kwR/a/FHXZbzHzSFAwyhTFQN6sM0hMKSQ+MWdQZO/obaX2yLth52+rfl+w+lkktUfe0/2ndrt62Lv5Xhau/hTxiTkUzjkbg9FMzeENI349ehTFSE7RGuzJBSQk54eU3PV6nLQ27KWhamvEqXaq6qepZjstdbvJKT6V3OK1GE1WUjPnkZIxl7bG/ZO2guNoy8xbRv6sMwZt87j7cXSH7zXRFssZ+b+w2RpPUmoxSemzSEmfHZw/73ZqvTkD6wA0VG0hr3Q9WQUraajaTHxSDnOWXBXMb2lrPBD4PR3r1zi670X8Pi85RWswmazMXnIliakllO95BuWENaa72iqpPryBns7wJZHdzm66O2pISM4nPXsh6dkLh3x9Wj7AUH0tCgvXXB/sUnc7eziw7eFBpYhPlJm3LOzCZT0dNcGv9374H91jzJY48krXk5G7NPgzb23Yx+Hdz4adUdTedJDswtVhZ5y0nVA5UlEMg/6ePO5+Kg68QusorzEiph8JCkaZqvoxKIbjipZ46Wg+THPdriEr4Hk9/TgdHZit8RgUY3B6F2iryfX1NNFQtTl0Jbfj+Lwu9m15kIWrP4XNnnFSi7iEo6o+4hKzSQnc7YE2J7uz9QitDfvpaD40rLFYv99L7ZH3aKrdScHss8jIXYKiGOiLcEGcbvq6m/D7fRgMRlS/n/6+VirKXos4jfJkyxznl55OVsHK4PeOnhYaa7ZpUy6P+/15Pf1Ulr1GQ+VmvJ5+lq3/EtbYRFS/n6rDb1EfJomzsuxVnI62QJKpidYG7e/W7erh0K6nmLvsGioOvBx1kaNDO5+keP4FJKQUDFof4ng+nweXo5PGmm3BGgyRaTNlCuecjcft4MC2h4dMTnT0tAS78wd43H201O+NakaN3+8lKa0Uo8mCx+2g8uDrtAwx7bH60FsYDCaSM2YHh+VUvx9nfyd1FRtD8j1U1U9T7U7yS9fT3nyYI/teiLogkpjZJCgYA9WHN6CqKr1d9XS2VUS86zjR9nf+Muh7RTGgKIZhXWR9Xif7tz5IfGIOna1Hon7ccFSVvYEtPoPujmo6W8rpbD064qSsAR5XL0f2Pk9D1RbSsxdSV7FxlFo7+bU3H2TTq78e1+esq9hIQnIBHa3ltDWVDTmlbeBiuX/rQ8xb8TGO7HtxyJkzjdXb6OmoJTl99qBhge72Kra//adh1Y5wu3rGZCnfuoqNJKYUUVH2SlSVC+sqNgb+NhUURQnkEUSf/eHzuji08wlSMudSX7Epqp+Bz+fmyL4XYBhFImvK38bR0zRoSWshhqKoJxYqEYNsfPnWOEBCbCGEGLn4dRf9KLqiGmJCGYY+RAghhBAzgQQFQgghhAAkKBBCCCFEgAQFQgghhAAkKBBCCCFEgAQF4qQYwqy8J8RUZj6uRLcQM4nUKRAnZc7Sq7HFZ9BUuyOqkspL1t6ENTaR+spN1B2dOXUIpqIla28iNi6VmiPvhi1QNB0ZjGZWnvE1fD4P9RUbR7zCphBTkQQFYsQUg5HElCKMJkvUPQYmSyxmiw3DELX4j7fq7G8NWlxpLOx87+9RL54DkJa9MKqS1CNxYNsj9HTWDH3gGDMYzdrvVjEOfXAYsXGpLD/9y6PYqlAet4Mtb/5h1M6XmFqMwWjCYDTpLjQkxHQmQYEYsaTU4mDt9vZxqJrm9bpglIttGU3WQeVqo6UYjCFrPoyW48tbTxeqqgaXCR41ioIpsDrhaEpOnwVoK24OVZpciOlGggIxYsnp2toHTkfHSS13HK3dG+8O3rkpBiMZOUtoqt0Rclx24WpUVQ2pfZ+SMReno31Qj8CKM79GTGzSiNvU21XP7g/+FXb/8XfKG1/5ZcSgZjx6RCaK29XDtg13BL+3xiYSZ88MWSvAEpNAauY8XP2dIfuyClbRUr8Xn9cZPMfKM78+6m0dCAo6W4+cdOluIaYaCQrEiCiKgdSseQB0tVcFV8zT43H1jfqb66xFl5Oes4jE1KJBq8vZ4tMpnn8hPZ21g4KChOQC5iy9GlX1s/P9v4csWz1TKIoh6qGegR4UxWjCGM0duapGVcdfMRhZuPrTWGOTqDz4Og2VHwb3pWTMoXj+BdQefX9QUJBbvJbCueeSmbecXRvvZjhrDQyHPSkfa0wCAK0N+8fkOYSYzCQoECOSkjE3uFJdZt4yMvOWhT324I7HaWsqG9Xnryl/G3tSLmnZCzFb7ezf+gCq34c9sDplZ1tl8NjElCLmrfg4BqOJyrLXZ2xAAJCWs4jZi68Y1mPyS9eTX7p+yOOiHdtX/T4qDrzKnGUfoXje+VgscVQdehMguLpo13G/v9zidRTOPQef103FgVcYq4AAIC17PqAtWtTRcnjMnkeIyUqCAjEiGXlLoz52LN7CnY4O9n54LwvXfJrOlsOofq2nICmtFICutorgsVZbEorByNH9L0e5nG704uxZrDn3u+EPOC5fYc05t0Q8V1R349NER8thDmx7mDlLr6bjuNUTE1OL8fu89HQcS7SMjUvF63FyYNvD9HTWntTzWqz2iPtTMgd6v6oxmWNP6rl8XtewVoEUYjKQoEAMmyUmgaS0EgCO7HuR5rpdIcfExCYFx9K9bseoPv+6i3406PvCuedSOPfcQdsWrflMyONKFlxEyYKLACjb/mjImPVIKAYDJkN0CYdjlZg4El6Pkx3v/i3iMSvO+CpGk4XKstdoqd8b9ri07AUUz78wqudNSCkM+d0sWvPpkONOveAHIdsWn3pD8OsPX/+/qJ7veAajmVVnfzOqY1MyZpOSEd2x4dSUv0NN+TsndQ4hxpsEBWLYcovXoigGPG4HLXW7g3fpx7PEHMsx6O9r0z1PfFIufV2NwXyAaDnCrHlvtsRhtsTicTvwDBGI+LyR7+BSMudSuuASPG4HB3c+HvY1TOVEQ487/Eq2BoMpOLOk39ER8VjvMGYV+H2esL+/mNgkDEYTrv7uIe+wh1ryvWDO2WTlr6Sns5aDOx6XhEEhoiRBgRgWsyWOjED+QFPtjrBvtrb4VAC8nn7dC4o9KZfcolPp62ni4M4ncDu7o27DzvfuDNlmiUlgydrP4fd52bv5XvrDXHiiVTL/IszWOMzWOPJmncHhXU+d1PmmGqstKfi1x9kzauft7arX/f0lpZUyf+W19Pe1sev9u6K8iOt378fEpZBXchqgzSRIz11CU812/D4PG1++VfcxBoOJVWd/C5M5hrqjG4M5DpGsPuc7mC02KspeG5QsKcRUJkGBGJac4lMxGs34fB4aKjeHPc6elAeAo0e/IJDFakcxGLEn5bJ07U0c3PUk3e1VEZ9bUYwsW3+z7j6zxYbZYsPn8zB32TVRvZbaI+9Fddxo10aYCuLsWQCoqn9YRZ0isSflU7roUt191thEFMWAyRzLknWfj+p8WtKhjhN/XVH8/lKzFwSHd/SGw04UG5eK2WIDOOk8ByEmEwkKRNQsVjtZ+SsBaKrZEbFL2Z4UyCIPc6Fvayqjr7uB2UuuwmyNY+GqT1F16A3qI9xxKYqCLT4tYhuNRvOQxwyINMZfceAVShZejMftoPbIu1GdbzpJTtcSNj2uPlTVPyrnNJqG/t0MBHfRMBj0Ky06He3UHd1IZsFKejpqaanfM+S5MvOWA9DdURN2qOh4A3/ffp+Xvq6GqNorxFQgQYGIWtG88zCaLPi8buoqtHUL0nOW0NZ0AL/PEzwuLiELa6w217urvTLs+dqbDrJv833MW/FxLNZ4iuadj82exZF9z+vmKfj93pDu3/xZZ5A/6wy8Hid7N9+H44QiSoVzziG3ZB3Ndbsp3/NsyDlzik/VbVtbU1lU0yjjE3NCEh/DWXfhf0d13EQzmqzBwlSWGDsLV3+agzsfHzJPYyidrUcH/f4MBhNzl3+M5PRS+rob2bv5vkFVDxXFwMLVnyYhpYDyvS/QfEKhqki1MaoOvRnVEABAbHxacCpkU832qB4zEDT1dNWNWtAkxGQw/eqpijGRkFJEWvZCAOoqPsDj6iUzfwWzl1zB0nWfx2bPCB6bGpjW5fO66emI3LXa21XPnk33BJPPMnIXs2jN9UNOHVMUI6ULLyV/1hn4fB4ObH8kJCAA7eLQ0VJORu4S5iy9GuMw1lyIhur34/U4R+VjqOS58ZJXclqwF8Xj7iMhpYAla28iLiFr1J7DYrWzcM2nSU4vpb+vnf1bHwopg6yqfg7ufBxXfxelCy8mt3jdqD3/8QZ6vzxuB62NQxcsMltsJGfMAaC1Yd+YtEmIiSI9BSIqeSXaG7LL2U195SZAu5Pz+73ExqWy+NQbqTjwCi11u8nI1WoYtDbuj2pmgau/i70f/of5K6/FnpSHPSmX4vkXcnDn47rHxydkU7ro0uBFSlX9lC7UH6vW2qnQ2VpBWvZC4pNyqS1/j5b63Sd1h+dydNLasA+no4Pqwxt0j0lOn02cPRNHXyvtUfQ6lCy4GJM5Bo8r/LDMWEtILgj2nrTU76H68NssWPVJYuNSWLTmeg7vfob25oMn9Rxp2QspnncBZqtW/MposrBQZwrpAGd/J6qqUjj3HJIzZlNT/s6gOhQnw2iyBv9em2p36PZQnSg9ZwkGgxG/zytVD8W0I0GBiEpz3S6S0kqoPPBqcKigsXorPZ21zFn6EWLjUpi16DIy85ZjidHu8ptrh07YGuD19LNv8/3MWfZR4hOzdZPIrLHJ5JacRkbuEhTFgM/nwWg0YzJZMcWHL/zjdvawf+uDFM49h9zitcxafBlF886loWrLMH8Kx3R3VNPdUR3xmKz8FSRnzKaxemtUQcHR/S+NuD2jIS4hi7nLr0FRDHg9/VQefAOPq1cL2FZ9gvjA/qqDbwQDw+FISC4gf/aZJKYUAgR/fxZrfMSpmC31jRzc8Thzll5NUloJC1d/Cmd/Z8RE12hl5q/AaLLg9/torBq6sJXBaCGn6BQA2psPBtdhEGK6kKBARKW1YR+2+PSQcfa+7kZ2f/BP5iy9muT0WdiTcgFt1sFwl//1+72U7XiUWFsKblfoNLjMvKWkZS/E7/NSX/0hHS1HWLTm0zTV7ODIvhd0z7n6nO8E5tGrVB18g7amMgpmn4U9KY+2pjLSc5cMq43DMTDm7eqPfrrlRElKK2XO0qswmWMDv4fH8bh6AW0IYd+H9zJv5bUkphRSNO88LDEJVJa9GvX5FZRgQOB29VJT/g5Gk5WiuedyaNfTtDaEFkeyxaezbP2X8HldeD397N/6IGnZC8mfdQbAKPQWKGQXrAK06oMJKYW0Nu6LOFuhYPYZWGLs+P0+KUwkpiUJCkTUwnWT+7wuDmx7mPkrriU5Q0tQqyl/e2RPoqphs7+rD2+gu6OGtqYyPK5e4hKyTzhCwRqbhMfdi9/vJTGlCLPFFpxSpygG+nvb2L/lASxWu27gMZSBC9VwFM49h8K55wzrMdWHNlB7NMopkyfBYDBRMPsssotOQVEU/H4f5XueC5ke6vO52b/1QeavuJaktBJyitZgscZxePczUT2PisrBHY+Tlr2A5tpd+P1ecooGJ3kajRaM5hhtVot6rOTwwCwXkzmGtsYDtDbsx2yxYTCe3NuXwWiirekgmXnLMFtszFl6FYVzzqauchPNtTsHJc+CNmyVVbAa0GbfRDNLQYipRoICMSpibMkkBLqFe7vqR30BpAGR1y5QWbruppCphh2BcsZxCdksXPNpasrfob7igzFp32jxeEa3NLSelMx5FM+7IDhTRKve+ETYehGq30fZ9keZt/JaklKLtV4bv5+u9uju2L2efhqrt4XdHxOXwtITahSoqkpHs7YwUWbeCnKKTuHQrqfoaq+MOPsgGn6fh8qyV6k98g5ZBavJLliFNTaRkvkXkl96Oo3VW2mo2oLX0481NpF5K6/FYDDicnaPPOgVYpKToECMAoXZS67EaLKgqn4qyl6bsJZ0tBwmPjEnMC7upKPlMPWBsWd7Ui5Go/mkEgwdvS1hq+IdLzN/BaULL4l65cABa877HiaTNdh1P5YUOG7qaDXle57D1d8R8TF+v5eybY8Ecwwaq7cQG2VdiKE4elro62nCYDCjKApuVy8NVVvo7dbqAMQn5WK2xuEd5XF8r8dJ7ZF3qa/4gIy8ZeQWr8Mam0D+rDPIKTqV5rpdJKYWY7HG4/d5Objjcbye/lFtgxCThQQF4qSVLLw4WMGwruKDQSvcjSWvR7s4WAIXNiBsd7aiGEjPWQwQ1ZK4qZnztOJFrshrH+gxGEzBrvHhLL9rCCRNArjHIShoayqjpvxd3K6eqOfngxYYHNj2MLa4NHq7G0YcFAz8/gYCE1X1sev9u3SPtcQkkJRajMvZTV9345DnLpxzTqB4UU3Uax/4/V4aq7fSVLOdjNyl5JasI8aWTHbh6uAxtUffo7erPpqXJ8SUJEGBOCn5s84kK38FAL1dDdQcHr9uVVd/J05HJ8lppcxd9tFArYPQJDGD0UxyWik2ewbtzYdw9rUPee7i+RcGFliKI6/0dA7vfjq6Rilar0lsXAp+v4/ao+9H/XqO7w53j+J6A5GMtBvc7/ME7+BHqruzGr/fR17Jei0XJEwgZLbYSMmch9Fkiaq9MXEp5Aam0CanzyI9ZzFNJxQ+ikRV/bTU78ESm0h+6fpB+/JnnUFsXCo15e/idAz9dyTEVCNBgRix/NlnBd80nY5ODmx/ZJyru6mUbX+Uonnnk5haTGrWfP2jVD9uVy/1lZupPvzW8J9GUaI6zGyNZ/aSK0lKLQag8uDrUQUgA2LjtEWk/H7fuPQUTDRnXzuHdj1J/qwzyMhZEjZx0O/z4uzvoPbo+zSOZBpplL8/0AJIbQhhLdYYrQfD5eymsXobmfnLiYlNIj1nMWlZC2lp2EvtkXdxOiIPuQgxlUhQIIZNMRiZtfgK0gMVDj2uPvZvfWBcxsFP5OhtZv/WBwZapg2Un2gElQIrDrxKycKLtLUPyiOvfWA0WckuWE1Oydpg93/14beHfQFLy1oAgKOnGb0ej8nKZNISO6Mp/HOi9qaDtDcFiiGFu3gP8/fn7NPWPsgqWEl3Ry0tdbuHfEx8Yg7pOUtIz1kUTFRV/X6aardTdWgDPq+T+ooPyMxfQV7peizWeDJyl5CevUiCAzGtSFAghsVmz2T24suD1QSdjg4ObHt4XN4Ql6z7/KivWGg06Rc9ams6QFvTgQiPVEhIKSQtewHp2YswmrTyyW5XLxX7X9adfZGeuwRUFY/bgdfrRPX78Pu9mM020nIWBctItzVGet6Jk5BcgNkSh8fTj9/rwuf3YLHag2Puzv7OsI+1WO2sOfe7o9ugCD0AQ619oChGEpLzSc6YTUrGHGJsycF9qt9Pa+N+ao68M6inR1X9NFZvpbl2J9lFa8gtXovJHHssOKjfQ82R94ZM1hRiMpOgQEQtt3gt+bPPCq5O191RQ9n2x/COw/Q5IHgXPpFSMuaSnrOYhJSCQav5+bxuGmu2UXd0Y9jM9NTMeaQEauaH09fTTEP1yCstjiV7Ul7EeguR1gFQFCXiqpTjwWSOIatgNQnJBdiT8zAazYP2u129NNftoql6Oy5nV9jz+P1e6o5upLF6O/mzTierYBUGg5GMvKWk5SyisXorlRM4A0eIkyFBgYiax+PEYDCi+v3UVX5AzeF3olrbYLRsf+cvo94jseLMrxETmxT18a7+TpLTZwXHv/u6m2iu20VL/Z4hp6n1dTeRmFKEYjCiKAaU4+503c4eWhsPUFP+dkjRnMnC0duM3+8b1Ha/34fb2U1TzY6INQhczm62bbhjVNtjjU1k5Zlfj/p4r8c5qOrmwLaOlnJaG/bS2Xp0WDkxPq+TyrLXaKzeSuHcc0nNnIfBYKSns25Yr0OIyUSCAhG15todxNqSaW08QN9JZp5PVX09TZTvfQ6TOZaOliPD6iquKX97cPa8omBQjKiqf9wSNFvqdkc1xq6no6WcTa/++rgtClMp9wGg4sArzFp8BZ2tR+lsLaerrfKkf/ZORwcHdzxOQkohCUn5tEWx0qIQk5UyWZZrnaw2vnxrHDD9U8GFEGLsxK+76EcTt/yniJphohsghBBCiMlBggIhhBBCABIUCCGEECJAggIhhBBCABIUCCGEECJAggIhhBBCABIUCCGEECJAggIhhBBCABIUCCGEECJAggIhhBBCABIUCCGEECJAFkQamgOIn+hGCCHEFDY+66uLkyYLIgkhhBACkOEDIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIQIICIYQQQgRIUCCEEEIIAEwT3QAhZjgjkASkhPlIPu7rJEABVMAf+Hzih952F9AJdADtgc8DH61AU+DDOZYvVAgx+UlQIMTYsgOzdT6y0C74SRPWslBdQCPHgoQKoAw4GPjcPnFNE0KMB0VV1YlugxBTXSwwi2MX/DkMvvhPFy0MDhIGPioB38Q1SwgxWiQoEGJ4UoBVwJrAxzIgfyIbNAm4gcNoAcJ+YBOwEW3IQggxhUhQIER4JmApsJ5jQcCsCW3R1KECe4H3gfcCn6sC24UQk5QEBUIcEwecghYEnA6sDWwTo6OOwUHCbsA7oS0SQgwiQYGYyRRgAXB54GMNE5x86/H56XR46Or30Olw09mvfd3l8NDt9OD1qyiAooCCgiHwzcA2w3FfKygoCsSYjSTGmgd9JMSaSbKZMRsndFZyL9pQw3vAy8AWtNkTQogJIkGBmGnMaL0AV6AFAiXj8aQur4+qNgeVrX1UtPZR0+6g3eE+LgDQgoA+9/jm6yXEmkiPjyHdbiE93kqa3UpavJXsxBhK0uMpTY/DHmMer+Y0AM8ATwNvoeUqCCHGkQQFYiZIBi5GCwIuBhLH4kk8Pj817Q4qAxf/o619VLb2UdnWR31nP/4p+q+WYbdSmhFPaSBIKE2PpyQ9jrxk21g+bTfwIlqA8FLgeyHEGJOgQExXszjWG3A6WpGgUdPS42RnTRe7ajvZV9dNRWsvtR39eKfqlX8EYs1GitPitEAhI545mXZWFSaTkRAz2k/lAd5ACxCeRetREEKMAQkKxHSSDnwGuBFYNFondXp87KrpZEd1JztrO9lV00lDlxT/Cyc/JZZVhSmsLkpmZWEKc7Pso/0Um9AChEfQaiQIIUaJBAViqjMCFwI3ofUMnHSiYEefm61V7Wyp7GBrZTt767px+yT/baQSY82sKEjWgoSiZJblJWE1j1rHzRvAv4CngP7ROqkQM5UEBWKqKgU+B3wWyD2ZE/n8Klur2nnjQDMbDjZzuLkX+bcYOxajgUW5CawqSmFtSSrrZqViNZ10kNAFPIQWIGxF6iEIMSISFIipxAZ8BK1X4KyTOVGP08M7h1p5/UATbx1sptPhGY32iRGIsxg5c246FyzI4px5GSTEnvRshz3AncD9SIKiEMMiQYGY7BRgJVog8AlOYuZAbYeD1w8088aBJj482i5DApOQ2ahwSnEqFyzM5IIFWWQlnlTSYi9aYPA3tEJJQoghSFAgJisDcBXwA2D1SE+ys7qD18uaeX1/E2WNPaPVNjEOFAUW5yZywYIsLliYyZzMk0pY3Aj8FXgMqX8gRFgSFIjJxgx8Ei0YmDeSE1S3OXh0Ww1PbKuVWQLTSHFaHBcsyOSKZTkszBlxh1E18BvgHkD+OIQ4gQQFYrKIRRsi+B5QMNwHOz0+XtrbyKNbathU0SaJgtPcwpwErlmZx9XLc0myWUZyinrg/4B/AI5RbZwQU5gEBWKiJQJfAb6NVmdgWPbUdvHI1hqe3VlHt1PW1plprCYD583P5OOr8jh9djoGgzLcU7QAf0AbWpCkRDHjSVAgJkom8C20gCBhOA/sdLh5akcdj22tZX+DvI8LTV5yLJ9YU8DHV+WTbrcO9+EdwO3AHYGvhZiRJCgQ460Q+C7weWBYqeXvHW7lkS3VvLq/CZdXZg4IfWajwkULs/j02kJOKU4d7sN7gD8Df0TrRRBiRpGgQIyXVOBHwFfRkgmj4vOrvLC7nr+9fYQDDTJ7QAzPnMx4blhXzDUr87CYhrVMtAP4O/C/QNOYNE6ISUiCAjHWYoCvoQUEUaeMu7w+nthWx9/fOUJVm+SBiZOTlRDDl84s4RNrCogZXonlHuAXaEMLMpVRTHsSFIixYgCuBX6NNmQQlT6Xlwc3V3P3u0dp6naNWePEzJQeb+Wm04v5zKmFxFmHtUzGYbRk2BfGpmVCTA4SFIixsBbtzirqokMdfW7+vbGS/3xQKSWHxZhLspm58bRiblxXNNyyyi+hBQcHx6ZlQkwsCQrEaMpGKwxzfbQPaOxycte7R3loczUOt2/sWiaEjoQYE59ZW8RN64tJiYu63oEXbZbCz9EWYhJi2pCgQIwGC/BN4MdAfDQPaOjq5/bXD/Pk9jpZg0BMOJvFyKdOKeSLZxSTbo96Ukwz8P/QqiPKH7GYFiQoECfrIrShgjnRHNzj9PC3DUf41/sVOD3yPiomF6vJwPVri/jGubOwx0Q9rLAN+Aba+gpCTGkSFIiRSgJuAz4bzcFen58HN1dz++uHaeuTJG4xuaXFW/jehfP42Mq84VRJfBC4BWgcu5YJMbYkKBAjcTFwF5AbzcGv7W/kNy+VcaSlb2xbJcQoW5ybyE+vWMjKwuRoH9IG3Aw8PnatEmLsSFAghiMR+D3awkVDKm/u5WfP7ePdw61j2yohxtiVy3L44cXzyUqMOt/gAeDrSMlkMcVIUCCidT7wTyB/qAO7nR5uf/0w/9lYidcvf19ierBZjHzlrFl84YxirKaoCiDVAZ8DXh3blgkxeiQoEEOxoy0x+6WhDvT7VR7bVsv/vVJGa6/kDYjpKT8llh9duoALF2ZF+5C/oS0JLuNnYtKToEBEcg7wL6KoSHi0pZfvPb6bbVXSWypmhtNmpfLjyxYyN8sezeHlaEm5MkNBTGoSFAg9cWgLwXx1qAP9fpV7Nlbwf68clCmGYsYxGxW+ds5svnpWKSbjkAsu+YHfAj8FpIa3mJQkKBAnWg08DJQMdWBVWx/fe3w3myvax75VQkxiS/MS+cO1yyhNj6p2127gM4HPQkwqEhSMkKIoiYBHVVXHCdsvAS4AfqKqatcJ+4qAOlVVJ2tx/88Df0GrUBjRfzZW8r8vl0lpYiECYswGvn/RPG48rTiawz3AD4E/APImLCaNYS0wLgZ5CNipKMqaE7avQyv5O2igUVGUT6LdGTwwPs0bFivwD7TaAxEDgtoOB5+4axM/eXafBARCHMfp8fOz5/bzybs2UdfZP9ThZuB3wGOc8F4hxESa9j0FiqL8AMgbhVPtVVX1zuPOuwJ4Eq2Az89VVf1FYPutwH8D+aqq1iqKYgP+hDY1qRL4tKqq749Ce0ZLPvAEUaxo+OCHVfzqxTJ6Xd6xb5UQU5jdauInVyzgmpVDzuAFKAM+AhwY21YJMbSZEBTsBJaOwqleUFX1shPOnYpW2vQRVVX/Fdh2YlCQAGwGtgBfVVW1exTaMlrOAR4B0iIdVN/Zz/ef2C1FiIQYpgsXZvLLqxeTFm8d6tBetBuHx8a+VUKEN+2DgmgcdyE/XVXV94Y4thctO/9k/VNV1c+PwnlGQkGr0f6/DDGE9PSOOn78zF66ndI7IMRIpMZZ+PVHFnNBdHUNfoeWayD/cGJCmCa6AVPU+8DdJ/H4f45WQ0bAHnj+j0U6yOPz84vn93PvB1Xj0yohpqm2PjdfvG8bH1uZx8+vXESsJWI1xO8CS4DrkBLJYgJIUDAy5aqq/nukD1YU5WQCipMxF3gKmB/poKZuJ195YLsUIhJiFD22rZY9dV3c+emVFKVF7Gy8ANgEXAEcHJfGCREwY2YfKIpyk6IotYqiXHiSp3oL2KcoiklRFHWYHxsC53gD2H+S7Riuq9DyGiIGBJsr2rnsT+9JQCDEGChr7OGKP7/Ha/ubhjp0DvAhcNHYt0qIY2ZST4EdbaZA7MmcRFXVywEURRn42d2FNtd4KMGlVFVVPdnAZLi+Cdw21EH3vF/BL184IIsYCTGGup1evnjfVr5y1ixuOX8OBoMS7tBE4AW0dRP+iNQzEONgJgUF0fi2oijXhdn3DVVV9er4tquqWjbUiRVFcZ5c00ZEAW4F/l+kg/rdPn7w5G6e2Vk/Pq0SYoZTVfjLW+Xsru3kT59YTpItbHkQA9py5aVoSzFLLXExpmbM7ANFUb6FFm1frarq0yfsG5h9EIlZVdVgRnCgp2C4lQnfVlX1rGE+ZqSMaKuzfSHSQVVtfdx8/zYONPSMT6uEEIMUpdq46/pVzM4csobRg8ANDP99R4iozZicgiidrqqqEuYj3BShu9DG6Qc+/hLYft4J2/eNdeOPEwM8yhABwZtlzVz+5/ckIBBiAlW2OfjIXzfyZlnzUId+Ei1R+KSGQIWIRIYPRkhVVa+iKHbAraqqe2C7oigDFX6OqKpaedz2ISsGjpIE4BngrEgH3f76IW574zAzpKNIiEmtx+Xl8//Zwn9dOI+bzyqNdOilwMvA5cBkKoQmpgkJCkZAUZRzgfTjvj9+96LA58sVRWnReSxAhaqqH45B0zKBl4Dl4Q7w+VV++OQeHt1aMwZPL4QYKb8Kv3m5jLLGHv73msVYTWHrGZyBNgvqIiDkPUaIkyFBwcj8DDhtiGPuiLDvP2jTjUZTMfAqMCvcAS6Pj68/tINXh54OJYSYIE/vrKOl18k/PrOKOGvYt+gVwLvA+YBE+GLUSE7ByO3Tyz1ACxgAisPs7xuDtiwBNhIhIOh2erj+X5slIBBiCni/vI1P3f0hnQ53pMPmAu+h1TQQYlRIUDD+FEZ3vvHpwDtA2MLqLT1Orvv7Jj6saB/FpxVCjKWdNZ18/O8f0NQdcTZzAVqPwbJxaZSY9iQoGGOKosxXFOVSRVHOUhTl64CN0RsHPAdtyCAx3AFVbX189G8fsL9BcpKEmGoONfVyzZ0bqW5zRDosA3gbWD8+rRLT2bTOKQiUFT7zhM1PnZAYeLx3I+wD+KWqqj8aZjNWAfce930jo7Mg0nrgObTph7r213fx2Xu20NLjGoWnE+PNYjSQaDOTGGsmKdZMks1Mks0SHGf2+1Wty0nVPqsqqKioqpa05vT46Or3BD86HW66+j1Iwcqppaa9n2vu3Mh9N53C3KywtQwS0G4QLkcroy7EiEzroAB4Fhiy2uAwbA58vonof3ZPAWvRemUcQJmqqidb3XAN8CJar4OuDyva+MJ/tsqSx5OUxWggP8VGcZqNorQ4ilPjKEyNIzXeogUBNjM2y+j/e/r8Km29Llp7XbT0uGjpdVHR6uBISy9HW3qpbHXg9knRvMmmucfFtf/4gH/fsJplBcnhDotFm458Dsfeq4QYlhlT0XC8KIryU+AnaImGlWPwFMvQpiMlhTvgtf2NfO3BHbi88uY+0eKtJhbnJjIv205RahzFaXEUpcaRmxyLMXzN+wnj86vUtAeChNY+jjT3cqSll4NNPXT3S4A50WwWI//4zCrWz06LdFgbWq7RgfFplZhOJCiYWhYCG4Cw7wiPb6vh+0/swSd9xOPOoMDcLDsrC1NYlp/IkrwkZqXHR1rwZko52NjDtqp2tlR2sLWqnZr2/olu0oxkNRm44xPLuXBh2NxigFq0adPV49MqMV1IUDB1lKBNP8oOd8AT22v57mO7pErhODEaFJblJ3FKcQqri1JYWZRMQox5ops1bpq6nWwNBAhbKzvY39Atweg4MRoU/veji7lmZX6kww6h5R5JgSMRNQkKpoYstIAgbP3T53fX882Hd8qb8hiLt5o4Y04a583P5Oy5GSTHhV3dblT5/Sq9bi+9Ti+9Lu2z0+vDaFAwGwyYjApmowGTQcFkNGA2KpgMBiwmA4mx5nEZquh1edlwsJlX9zWx4WCz5LOMMUWB269dxhXLciMdth04GymJLKIkQcHkl4g23WhpuANe29/Il+/fjlcCgjGRlxzLufMzOW9+BqcUp2Ixjd5M3n63j5oOBzXtDmo6+qlpd1Db4aC520W300uvy0Ov04vD4xtxD5CiQGKsmdQ4C8k2C+l2K1mJMWQmxJCVEEN2Ygwl6XGk28NOZBk2j8/PB0faeHV/E6/tb6SpW2bAjAWzUeGu61dx1tyMSIdtAC4GJmL5djHFSFAwucWiLX5yRrgD3j7YzBfu3SYZ46OsND2Oq5fncd6CDOZlJZz0+Rq6+tlX382++m6ONPcGggAHrb0RK9aNq2SbmTmZdmZn2pmTGc+cTDtzMu2kjEJvyM6aTl7d18ir+5sob+4dhdaKAbFmI/d//hRWFoadlQDarIRrAOm+ERFJUDB5mYAngCvCHfDh0TY+e89mnB4JCEaDzWLk0iXZXLsqn1VFKSM+T0efmx01neyo7mBXTSd767tp75s8F//hSou3MCfTzvKCZE4pTmFVUfJJTZfcV9/Fo1treWZnHZ0Ozyi2dOZKjDXzyJdOHSqA/TfwOUa3oqqYZiQomLz+Btwcbue++i6u+/smelwS+J+sFQXJXLs6n8uWZEdagCasbqeH9w638vahFjYdbaMqcvW5Kc9kUFicm8gpJSmcUpzKqqJk7CNIsHR5fby2r4lHttbwXnmrJMiepAy7lcdvXkdBatjyJQC/B76HBAYiDAkKJqeb0YICXZWtfVxz58ZJ1fU81aTGWfjIijw+viqP2Zlhq8SFta++iw0HW3j7UAvbqzpmdD6H0aAwP9vOqSWpnD8/k9VFKcOehlnZ2seDm6t5bGsNHdJ7MGKFqTYev3ntUPkh/wX83zg1SUwxEhRMPqcDbxKmYmJTt5OP/m0jtR0yR3wkStLiuPmsUq5aljushMFel5cNZc1sOKQFAlI6Orz0eCsXLMzkokVZrC1JxWSM/ufs8vh4fk8Dd797lAMNPWPYyulrfradR764loTYsL03KnAJWr6SEINIUDC55ANb0RY4CdHV7+Hjd37AwSZ5sxyuhTkJfOWsWVy8KCvqu1ifX+W9wy08sb2O1/Y30e/xjXErp58km5nzF2Ry8aJs1s9KG1Yg9tr+Rv70Zjm7a7vGsIXT06rCZO676RRiLcZwh3SgrctydPxaJaYCCQomDxvaEqgr9Ha6vX4+/c8P2SzLHw/LmuIUvnpWKWdGnrI1yP76Lp7cUcczO+ulR2AUJcSYOG9BJteuyueUktSoH/f2wWb+9GY5W6s6xrB1089Zc9O56/pVmMP31OwG1gF949cqMdlJUDA5KMD9wCfDHfDDJ3fz0Oaa8WvRFHfOvAy+clZp1LMImrqdPL2jjqd21FHWKD0xY600PY5rVxfw0RW5pMZbo3rMpqNt3PHGYTYeaRvj1k0fVy3L5bbrlkU65GG09x25EAhAgoLJ4rsEEn+Kioqoqqoa8gG5N/8TU2Jm8HvV76N358v07n0TT1sN+H0Y41Owr7qChJWXD3k+1e+je8vT9O19A29nI4o5hpjCpSSd/mnMKbkhx3a9/xC9e9/A19uBKTGDhNVXYV9+Sch53a3VNNzzDewrLiXl3C8M2Y6TtX5WGj+8ZB4LcxKjOn5PbRd3vXuUF/c0zOhkwYliMRq4eHEWn11bxIrI8+yDtld1cMcbh9lwSKr3RuMHF8/j5jPDFkMFuAX4wzg1R0xyEhRMvAvRlkE2AHz2s5+lqakpuLOr38Pu2k78KqheN66avRhsSeTefDcGs5Zh7Hf10fzoT3DVl6GYLJgzilEMJrxdTViz55B+9f+L2ADV76P58Z/jrNiGYonFklmKt7MRX08rijWO7E//DnPasRrrbS/dQe/uVzHEJWFOzsHdUoXq6iPtyh8QN2/9sfOqKk0PfB9vTws5N/0VgyV2FH9sg83LsvPDi+dFPUzwxoEm7nr3KJuOynDMZLE4N5HPrivkiqXRJYG+c6iFnz23nyMtUgwpEqNB4T83rom0sqIPuAAtwVnMcBIUTKxZwBbCLINc39nPFX9+Lzj1sOuDR+l8515Szr8Z+4rLgsc1PfI/OCt3EL/kApLPuQmDNS64z+fowmiLfNfcvflJOt76F5bs2WR87OcYY+2ofh9tL91B3943sOYvIuuTvwHA291M3d9uwlqwiIxrforBbMXX10nDv7+B0Z5O9vW/D563Z+dLtL/yF9I/+mNss9aM8EcUWXq8le9eOJePrcwbMoHQ5fXx5PY67n63Qi4kk1h2YgxfPquUa1fnYzWFTZQDtHLK935Qye2vH5a1FiJItpl57uvryUsOW8OgFViJrKo4441eEXcxXHa00qNJejudHh9fvG9rMCDwO3vp3vwkpqQs4pdeFDyub/8GnJU7sM0/g9SLvzEoIACGDAhU1U/3lqcBSL34mxhjtTn7isFIyvk3o1hsuGr24mnV8hlcDYcBFfvySzGYtbFgY1wStrmnacMWAb7eDjo3/Bvb3NPGJCAwGxU+f3oxb373TK5dnR8xIOjq93D7G4c57Tdv8sMn90hAMMk1dDn58TP7OOv/NnDvB5W4vOFnfZiNBm5aX8Kb3z2L61bnM01WqR51HQ4PX7pvG87wM2jSgCfRSquLGUyCgolhAO4DFoQ74PtP7GZv3bGFzbo+fAK/s5fEtdeiGI+VMOje+hwoBpLP/tyIGuJuOIyvtx1zRgmW9KLBjbTEElu6CoD+qp0AKIr2rqsYTvjTUVWOz1Vqf+MfqEDyeV8aUbsiOXNOOi9/8wx+dOmCiJX0+t0+/vpWOaf/9k3++NohKfY0xQwEB2f+dgP/2Rg5OEiLt/Kbjy7h2a+tZ1WUuQkzzb76bn745J5Ih6xEK5omodUMNvIC5uJkfB24MtzOf7xzlGd21ge/9/V10rPtOUyJmcQtOie43dvbjrvhINbcBRjjU+nb/zb9R7fid/djTivEvuxCTAmRx9jdTUcAsGbP0d1vySzFceCdYC+AOa0QgN5drxJbuhrFaMbX24Hj4PtYc+YB0H9kK46yd0m54CuY4ke+hsCJkmxmfnbFQq6MvFQsHp+fhzZX86c3y2VK4TTQ2O3kJ8/u428bjvDls0q5bk34YYVFuYk8/uV1PLuzjl88f4CWXvn9H++pHXUsyUvkxtOKwx3yWbQhzb+MX6vEZCJBwfhbAPwm3M53DrXwvy+XDdrWs/15VI8T++rPohiOvRm6G8sBMKfl0/rc73AceDu4r//wJnq2PkP6R/+H2MKwqy7j7dKSGk0J6br7TXYtOcnXqyXkmVNysc1dj+Pge9Td+XlMSVm4mytQvS7STvskfo+Tttf+hjV3PvHLLo70cxiW8xdk8qurFw25vO8r+xr5zUtlVLTK1OvpZiA4uPu9o/z4soWcvyAz7LFXLMtl/ex0/vupPby0t3EcWzn5/fKFAyzISeCU4rC1Im4DNqMFB2KGkeGD8WVBGzbQvbJVtvbxtYe24ztuapzq9dCz82UM1jjiF58/6PiBC3p/xQ5ctfvJuOYn5H/rUXJu+huxs09F9Thpffa3+N3hSyL7XdriPYpVPwFJsWhNVd3HlmJPveSbxC+7CNXnwdVwCHNaPpkf/wUxefPpevcBfD1tpFz41eBQg9/lwO8Z2R1bQqyJ3398KXddvypiQLCntotr//4BX7pvmwQE01xNez9fuHcrN96zhcoIv+uUOAt/+/RKbrt2GQmxcv8zwOtX+eoD22noCvu+YEKrmxIX7gAxfcl/yvj6H8JULHS4vXzh3q109w/OoO7bvwG/oxP7yssxWAZfFNXAxd7X00r2DbdjydC6BA1WG+lX/ZD6u27G29mAo+w94pcMDiiC/No4raKEiw8Dw4vH5RAYLLGkXvg1Ui/82qAj3U1H6d76DAmnfgxLehH9R7fR/sZdeNtrQTEQU7iU1Eu+Gex9GMrZczP49UcWk5UYPhjodnr4zYtlPLSlWlbZm2HeOtjMxiOt3LS+mK+fMztsSd+rludySkkK3398N+8cbh3nVk5Orb1uvnz/dh750qnhhmLmoNVO+cr4tkxMNOkpGD+nAmELBtz6/AEON4dmxfdsfx6A+KUXhj4ocCduzZkbDAiCuwxGbIGaAa7AMIMeJTCDINydvOrRegiGqjGgqn7aXvkTpqRMktZdi7vpKM1P/AJjrJ20y79L0hmfwVW7n7YXhq6RYrea+O01S7jnxtURA4JX9jVy3u/f5sHNEhDMVC6vn79uOMK5v9/AC7sbwh6XnRjLvTedwi+uXESsOfI0x5liZ00nP35mX6RDvgyM3higmBKkp2B8xKENG+gGYW+WNfPg5tDpwe6WStxNRzCnFYbMDAAwxGjTBw1xSbpPOpAnoLodYRtmjNMytX29+qVjB3IJjq+eqKdn23O4Gw6Tce2tKCYL3VuewmC2kvGxn2EYGJpQDHRuuAd3S6Xu6wFtIZc7PrGcnKTwQUhLj5P/eWYfL8tYsQio73Ly1Qe38+DmVH5x5SJK0uN1j/vM2kJOn53GLY/tYpuspcAjW2pYW5LKVcvDJu/+C1iMVsdAzADSUzA+fodWqChEe5+b7z+xW/dBfQfeAQje8Z/InFYAgLezSXe/r68TAENsQtiGmdO12QQDsxBONLDdkhm+TKq3u5XOd+8nbtE5xBYtCz7OmrfgWEAAxAQSHr0d9Xqn4YZ1RTz0xVMjBgSPbKnh3D+8LQGB0PV+eRuX3vEe928KXyq8KC2OR7+0lq+ePWugs21G+/Eze6nvDJtfkAX8A5mmOGNIUDD2LgZuDrfz/z21J+y0uf7DHwIQW7pad781ew6GGDue5qO4mytCH390q3ZcXthyCMQULAGjGVftfrzdg2vJ+91O+ss3g9FEbMnKsOdof/1OFKOZ5LNvOrbRYEQxDV7oJlhf4YSu/hizgduuXcZPr1gYdkW3qrY+PnnXJr7/xO6QvAshjtfv8fGjp/dy4z1bwv5vGQ0K37twLv/4zEoSYmZ2h2m308stj+2KdMjVRFisTUwvEhSMrTS07jddT2yvDXvH6+vtwNNahcEaF/YuXTGasK+4FIC2V/6Mr//Y6n5dHz6Ju+EQpqQsbLNOAbQ1Dlqf/z3Nj/8sOOvAYIklfvF5oPppe/F2/IFZBqrfR/trf8Pv6sO+7BIMMfrdsY6DG+k/vInkc24aVD3RklaIu6Vy0LHupiOgGLBkzw5uK0ix8dRXTovUfckjW2q46LZ3ZXU8MSxvHWzmwtve4dV94XuVzl+QxTNfW8/cTPs4tmzy+eBIG3e9ezTSIXeg9RqIaW5mh8hjS0GrDqb7j1Tb4eCnEZJ8nLXaPkvOvODUPj0Jp34MZ9VuXHX7qbvzc1iyZuHracXb0YBijSPtiv8K3qG7m47St+8tAPortgcXL0o687M4q3fjrNpJ3d9uxJxRhLe9Hl9vG5asWSSdcb3uc/tdDtpf/zsxhUuIX3TuCe26hoZ7vkHnuw+QsPpKPJ2NdL73IPFLLwjmOpw1N53br1tOYqx+VUKH28uPnt7Lk9vrwr5+ISJp73Pzxfu28fFV+fzk8gXEWUPf8orT4njqq+v4zqO7ZvSw1O9eOcjps9OYl6U73JiCVtDoGmSZ5WlNFkQaO59GSy7U9Yl/bOKDo+HvfDvfvZ+ujQ+TsPpqks+5KexxoK2e2LXpcfr2b8Db3YzBGk9s8XIST/sk5uTs4HF+j5OmB76P3+Ug81P/O6jaoM/ZS9e79+E4tAlffxcmezq2+aeTuPbjwdUYT9T+2t/o3f0a2Tf+KWR5ZYD+I1voeOdePK01GG2JxC85n8TTPoHBaOQb58zmm+fODrtmwaGmHr7ywHbKdWZkCDESBSk2/vDxpawqCl9l87bXD3H7G4dn7GyW+dl2nv3a+rDDeMC1wKPj2CQxziQoGBsZwCFAdzWiu949yi9fODC+LZokYswG/vSJ5Zy/IHxP5BPbavnR03vpD794ixAjYjQo/PDieXz+9JKwx7y4p4FbHt01Y//+vnnubL59vn7Zc7RZCAuAlnAHiKlNgoKxcTege3t/sLGHK/78Hi6vf5ybNPESY83887Orwt6pOT0+/ueZvTy2tXacWyZmmiuX5fCbjywJW/BoT20XN9yzmba+mbeIltmo8OzX1jM/O+yspUeA68axSWIcSVAw+lYDH6Izhcft9XP1X99nX3136KOmucwEK/d+7hTmZukndFW09nHzfds42NSju1+I0bYgO4G/f2Yl+Sn6Jb6PNPfymX9+SH2XU3f/dLYwJ4FnvnoapvDDCGcDG8avRWK8yOyD0WUA/kSYOb13vHl4RgYExWlxPPHldWEDgq2V7Xzkr+9LQCDG1f6Gbq78y/tsrmjX3V+aEc9jX15HcdrMWwJgX303f3tbv3ZJwG2AlIachiQoGF3XA6fo7Tja0ss/3o445WdaWpybyOM3ryUvWf9u7IXdDXzq7g/pcHjGuWVCaLMTPn33hzy2tUZ3f25SLI/dvJaFOeELgE1Xf3qjnIONYQP1pYQZIhVTmwwfjJ5E4CCgWw/4hns2s+HgzMrNWVeayj+uX0W8zjQw0BIuf/XigRmb6S0mly+dUcIPL5mvu6/b6eGmf29hS+XMKo28uiiZx25eF253KzAb6By3BokxJz0Fo+fHhAkIXj/QNOMCgosXZXHPjat1AwK/X+Wnz+7jly9IQCAmj7+/c5RbHt05aOnyAQkxZu793CmcNTd9Alo2cbZUdvD8Lv2y5GjF2f5nHJsjxoH0FIyO+cBudIpBubw+LvjjO1S1hV+UaLq5dHE2d3xiOUadGgROj49vPLSDV/frr9cgxES7aFEWd1y3HIsp9J7J4/Pz7Ud28nyEFRmnm9ykWN645Uxi9FeX9AIL0aZgi2lAegpOngLcTpjqkHe/WzGjAoLzF2Ry23XLdAOC9j43n/jHJgkIxKT28t5GvnDvVpw6dQrMRm2djvPmZ0xAyyZGXWc//3gnbD6UCfj9ODZHjDEJCk7elcD5ejsauvr5y1vl49yciXPG7DT+/MnlutXQ2npdfOIfm9hR0zn+DRNimN4+1ML1/9pMjzM0AdZkNPCXT67glOLwlRGnmzvfPkJj+KmZlwEXjmNzxBiSoODkxAJ/DLfz1y+W4XDPjKpopxSn8I/rV2E1hXYxtva6+MRdm2TKoZhSNle0azNjdAoYWc1G7vrsqhkzK8Hh9vGbl8oiHfJHQH8REzGlSFBwcr4LFOnt2FzRzrPhE3SmlYU5Cdz92VW6Y44tPVoPwaEmWcNATD27a7u49h8f0NwdepecEGPmP59bM2PqGDyzq44d1WFnX8wnwhLxYuqQoGDkMoAf6O3wBbLrZ4KiVBv/vnEN9pjQm4T2PjefunsTh2VRIzGFHWrq5bp/bKJdp8cgLd7KfTetIStBf9Gw6URV4WfP7Y90yM+A1HFqjhgjEhSM3H8BuhV5Hvywmv0N079yYYbdyn03nUK63Rqyr7vfw2f++aH0EIhp4WhrHzfes5k+lzdkX16yjXtvWkOSbfr3nu+s6eSJ7WHXJkkGfjKOzRFjQIKCkckCvqK3o6PPze9fOzjOzRl/MWYD//zsat268X0uLzfcs3lGlnQW09eu2i5uvn8bbp3FzOZk2vn3DauxhVlgaTr57ctlONyhwVHAF4HscDvF5CdBwch8Hy3JMMRfNpTTOQNK9v7mI0tYnBe6MrTH5+cL925le3Xn+DdKiDH27uFWvvvYLt19ywqS+d3Hlo5zi8ZfU7eLv24Iuy6CFbhlHJsjRpkEBcOXA3xZb0dLj5P7N1WNc3PG3xdOL+Gq5bm6+/77qb1sPNI2zi0SYvw8u6s+bM7QJYuz+fKZpePcovF31ztHqe/sD7f7ZiS3YMqSoGD4fogWDYf464YjOD2hXYvTyRmz0/jBxfN099359hEeDbOwjBDTyb83VvLnN/VrkHzvwrmcMTttnFs0vlxef6SCRnHAN8exOWIUSVAwPDloY2YhGrucPPhh9Tg3Z3wVptr40ydX6FYrfGVfI//7csR5zEJMK7979SAPbQ79nzcYFO74xHLyU3RHGKeNh7dU09rrCrf768DMKOIwzUhQMDzfASx6O/66oRyXTgLSdBFnMXLX9atIjA3NsN5T28W3Ht4pixuJGed/nt7Lh0dDh8uSbBb+8ZlVxOqvFzAtOD1+/vluRbjdSYQZZhWTmwQF0UslTHGO+s5+HtkyfbvNFQX+cO0y5mTaQ/Y1djn5/L1b6NepEy/EdOf1q3ztwR26JYDnZyfwm48unoBWjZ/7NlXR1R82sfo7hEnIFpOXBAXR+zraWFmIO98+Mq17Cb5y1iwuXJgVst3h9nLTf7bQ1B22C1GIaa+l18VXHtiuO1XxymW53LS+eAJaNT56XV7+vbEy3O4M4PPj1xoxGiQoiI4d+IbejpYe17TuJVial8i3z5utu++WR3dJLQIhgO3VHfzief1qfz+8eB5rpvHiSfe8X6Fb1Cngvwgz5ComJwkKovMltGpdIf71XsW07SWIMRv4w7XLMOmsenjfB1W8tLdxAlolxOR036Yq3Wp/JqOBP3x8KXar7urqU16nw8ODOgmXAXnAZ8axOeIkSVAwNDPa2FiI7n7PtK5L8MOL51OaHh+yvayxm1tfiFgDXYgZ6b+f2sP++q6Q7XnJNn565cIJaNH4uOudo7i8YfOKfgBMz4hoGpKgYGhXEqZs538+qKQnfLfZlHbG7DQ+u64oZLvT4+PrD+6Ytr0jQpwMp8fPzfdv102+++iKPC5ZHJqbMx0097h4bGvYNRFmAR8bx+aIkyBBwdC+pLex3+3jnvcrx7kp4yPJZub/wpRr/flz+2XVQyEiqG538L0wpZB/dfVi3QXEpoM73z6C1xf2ZkE3J0tMPhIURDYLOE9vx9M763SXUp0Obr1yEZk6S8G+uKch0tihECLg1f1NPKZT3TPJZuGXVy2agBaNvdqOfp7ZWR9u96nA9Hzh04wEBZGFnU4zXasXXrE0h8uW5oRsr+1w8IMnd09Ai4SYmn7+3H5qOxwh2y9YmMUVOv9j08Hf3g67UBLI9MQpQYKC8CzAjXo79tZ1sacuNJloqku3W/mFzl2Mz6/yzYd30t0/PfMnhBgLPS4v331sF35/aKnPn16xkLT46TdTr7y5l80V7eF2fwYI7YIUk4oEBeFdhVZ8I8R07SX4wcXzdMsY/2djJduqOiagRUJMbZuOtnOvzgyllDgLP71ies5GeGRL2PfHFLT3VTGJSVAQnm6CYa/LyzM768a7LWNuRUEyH12RF7K9oauf3796cAJaJMT08NuXy3SHES5bksOpJdOvqNELexrodoYtfSxDCJOcBAX6ZgPn6O14dmcdfe7pVeffoMDPwty1/PTZ/dPu9QoxnhxuHz94Yo/uvh9ftgCdRUenNKfHzzM7wiYcnguUjGNzxDBJUKBPd3lkgAem4dDBx1flszgvMWT76weaeGWfVC0U4mS9V96qWw59QU4i167On4AWja2Hww8hAHxuvNohhk+CglBW4Aa9HbtqOqddrf+EWBPfu3BuyHaH28tPntk3AS0SYnr6zUsH6NYpanTLBXNJiJleBf/21XezN3wy9o1IhcNJS4KCUB8B0vR2PDQN5+h/+7w5pMaHFlO57fXD1HX2T0CLhJieOhwebn/jcMj2tHgrXz9Xf9Gxqezh8AvF5QAXj2NTxDBIUBBKd+igx+nh2V1hx8mmpLmZdj5zamHI9gMN3fzrvYoJaJEQ09u9H1RS0doXsv2GdUUUp+muzD5lPbuzjv7w+UiScDhJSVAwWCFwlt6OZ3bW45hmCXc/vWKh7gqI//3UXrw6c6uFECfH41P51YsHQrabjQb++9L5E9CisdPt9PLinoZwuy9F6zEQk4wEBYNdHW7HdKtNcOacdNaWpoZsf35XPdurpSaBEGPltf1NvF/eGrL9vPmZnDFbd+RyyoqQcGgEPjuOTRFRkqBgsI/obdxX38X+humVYPjt8+eEbPP4/PxOahIIMeZufWG/bqXD7+ok/U5lWyo7OBJ+AbVrx7MtIjoSFByTAazX2/HS3uk1Le/suRksy08K2f7Q5moq20KLrAghRteBhh7dRLwleUmcPs16Cx7RWRgqYClQOo5NEVGQoOCYKwDdMiKvTLOg4Ds6vQQOt5c/vVE+Aa0RYmb6w2sH6dGp/Pe1s2dNQGvGznORE7TDDtmKiSFBwTG6QwdHW3o5HL77a8o5Z16GbqGi/2yspKXXNQEtEmJmau11c+8HoesinFKSyqrC5Alo0dho6HKys6Yz3G7d910xcSQo0CSgld8M8eq+pnFuytjSuwvpdXn5xztHJ6A1Qsxs/3qvAqcndFbT186ZXr0FEXpb1wK549gUMQSpKqW5BG2p5BAvT6Myv6eWpLBC5w7knvcr6HCEXcBkwnm7mqi786aw+42JmeTd/E9c9QdpvO+WkP3W/EVkffI3YR/fs+tVene9hLe9HhWwpBWSuPbjxJauCh7j9zjp3PBvHAffR/X7sM1ZR/K5X8BgPlb4yXF4E63P/57sG/+EOSlrZC9WzChtfW4e3lLDDeuKBm0/a24Gi3IT2Fs3PRKcX97XyPcvnhdu91XAX8avNSISCQo0uuNajV1OdtV2jnNTxs5Xzgq9++hxerj73cldqMhgSyLjYz8L2e539tL6/O+Jm6flh/ocnQCkXPQNTPZj0y0NMfERz99/+ANss9diTsnD5+yhZ/vzND/xczKvu5WYgiUAdL5zH45DH5B0xvWofh+d79yLwZZI8hmf0Z67v5u2V/5M8tmfk4BADMtd7xzlU6cUYD6hZshXz57Fl+/fPkGtGl0VrX2UNXYzLytBb/fVSFAwaUhQADFoPQUhXt3fiDpNavgszEngjDnpIdsf3VpDl0499snEYLYSW7IyZHv7G3dhiIknce3HAfD1abXW4+auGzIQOF7GNT8Z9H1M4VLq//55HIc2BYMCR9l7JJ1xPfGLtVEmv6MLx+FNEAgK2l/9G5aMEuzLpHqrGJ66zn6e2VnHNSsHL4x08aJsZmXEUz5Ncppe2dsYLig4A7ADPePbIqFHcgrgPED3CvLyNJp18Jm1oeWM/X6Vf2+sHP/GjAJPRwM9O14g8bRPYLBq5WH9/V1gNIPBiOofefVJxajFysb4Y0MtfrdjUKChWGIALWLsK3sPZ8V2Ui/+xoifU8xsf9twVLduwZfPmj4z9l7dHzY/ywycP45NERFIUBBm6KDT4WZzRft4t2VM2K0mrlgaWlH0jbImatqn5qJHne/eh9GWNOjO3NfXCT4PNX/8GNX/dyW1d95E5/sPofqG7gnxu/vx9XXgrNpN67O/xZxeNOjc1px5dG95Ck9nI+6WKnp3vkxMwRJ8fR20v/pXks/7Iib79JpfLsbPkZZeXtkfehNy2ZJskmzmCWjR6NtX301jlzPc7svGsy0ivJk+fGACrtTb8caB5mlT///K5bnYLKG/6nverxz/xowCT2cjjrL3SD7rhuBdPUDcwrOJLVqOYrLg7Wmlb++bdL33AJ7WatKv/H7Y8/nd/dT88WPB72OKlpNx2S2DegZSzvsizU/8nPq/fz54TOK662h94Q9Y8xYQv0h38ooQUfvrW0e4eFH2oG1Wk5GrluVO2R69E711sJlPrCnQ23UJ2k2qf3xbJE4004OCNUDoAgBMr1kHnzol9J+wrLGbjUfaJqA1J69785Molljil140aLs1a3AiZfyic2h+8lYcZe/iXncdlvTQIRQAxWwl81P/i+p24u1upnfP69T/62ukXfZdbLNPAcCcmk/O5+/E01aLwRKLKTGD3r1v4qrdT85Nf8HddJSOd/6Dp7UGkz2NxHXX6uZBCBHOnrouPjzaxiklg9+SrluTP32CgrKwQUEmsALYOr4tEiea6cMHZ+htdLi9vHOoZbzbMiaW5ycxPzs0ueffU7SXwO9y0Lf3DeIWnInBahvy+LgFZwHgaakMe4yiGIjJW0hsyUrsyy4m61O/xZySR9tLt6Mel2mqGIxY0gsxJWbg7Wmj4/W/k3LBV0CFpod+SGzhMjKv/QVxC86g+clb8bTXnezLFTOMXkngeVkJLNUpODYVvVfeissbNt/n0vFsi9A304OC0/U2bqlox+WdHr1Yn9TpJejoc/P0zql5wXIc/gDV4yJuvm48F2Ign0Axx0T9HIrBiDVvAf7+bvyBaY4nanv5DmJKVhI3bz2OI5sx2tNIWHM15pRc7Csuw5yah7NyR9TPKQTAi3sa6NYpfXyd/t31lONw+/jwaNhcrXPGsy1C30wOCozAaXo7tlRNj6WDE2JMXLYkNMHw4S3VOD1TM+jpO/AOxvgUrHkLQ/admFCoqiq9u19FMVmx5umvVe939w/qDQBQ/T5ctfswxCZgiA3tZenZ9QqepqOknP9l7XiPM/S53f2gzOR/LzESTo+f53aGrhVwxdIc4izGCWjR6Hs7fC/sGrSZCGICzeScgoWAbp/clmky6+Cq5bnE6ryRPPBh2DXOJzXV78NVs4/YkpUoSujaVU2P/hhr9lwsWbPwu/ro2/M6rroDJJ/3JYyBi7ujfDOtz/wvyed+Afuyi3BW7qTz/YeIW3AW5uQsfI5u+va8jrvxCKmXfgvFMPjn5+1upuPNf5J2+XcxxtoBra5Bx5v/pO3lPxFbvJL+im34+jqJLVkV0kYhhvLI1ho+derg/Jc4q4lLl+TwaPgVB6eMCLO6YoBlwJZxa4wIMZODAt2hA7fXH2nxjilFL6FnW1UHtR1Tcxqip6UK1ePEkj1bd39M3kJ6975B99ZnUIwmLJmlpH/0f7DNOiV4jKIoYDBAIKiwZJZgTs2jZ+sz+Pq7MdqSsGSWkPXp/8OaO7gsq6qqtL14O7a567DNWhPcbkkvIu2K/6Lz3fvp278Bc2oBGdf8GFNixhj8FMR0t7u2iwMN3SG5QNetzp8WQcGBhm4cbq/ujCi03lsJCiaQcmLX6QzyMHDtiRu3VrZzzZ0fTEBzRldxWhxvffeskO0/eXYf/5kmmcxCTFc3nlbETy4PHSI7/w9vT4tVWx/6wqmsLdWd+PUY8PFxbo44zkwd9FQIl2RYOT2GDi5cmBmyzedXeWF3xLXNhRCTwFM76nSz9C9bkq1z9NSzLXze1mlo789igszUoKAYCM3AAzZXTI8kwwsXhi7Ks/FIK6297glojRBiODodHl7TWbb9wkXTY7GtCEFBDjA9plpMUTM1KNDtJfD7VbZVT/2egswEK8sLQpdIfm5XwwS0RggxEs/tDv1/nZeVQHFa3AS0ZnRtr45487VuvNohQs3UoGC93saDTT1093vHuy2j7oIFoXcTbq+fl/dJUCDEVPHOoRacntAhhIt0egGnmq5+D4ebwi6KKEHBBJqpQcE0zycIfdN4+1DztAh4hJgp+j0+3Tn9evlCU9G28L0FEhRMoJkYFGQAc/V2TIf6BImxZk4tSQnZ/qxOQRQhxOT2is4aLEvykkiNs0xAa0ZXhLyCpYRZzl6MvZkYFISNQjdPg56Cc+dnYDIO/rV6fX42HJweazkIMZO8caAZ3wmrtRoMCmfNTZ+gFo2e7eGDAiNadUMxAWZiULBUb2NNu4Ombtd4t2XU6Q0d7KrtosclQwdCTDVd/R7dpLyz5039wlhHWvro6As7G0qGECbITAwKFutt3FPXNd7tGHUGBdaWhBYEea+8dQJaI4QYDW+VNYdsO2NOOibD1J/OHyGv4JRwO8TYmolBwSK9jYfCZ8JOGXOz7CTEhq4n8t5hGToQYqp662BoUJAQY2ZR7tRfTjlCSXndvC8x9mZaUBAD6BbOP9g49YOC1UWhCYZ9Lu+0WctBiJnoQEMPTd3OkO0rC0NrkUw15eFLNpcgKyZOiJkWFMwjzGueDj0Fa3SCgg8r2vH4Zuz6FkJMC3rTpadDUHC0JWxQYEQLDMQ4m2lBge7Qgcvjo7LNMd5tGXWrdIKC9yWfQIgpTy9Tf9U0CAqq2hz4/WFvWuaMZ1uEZqYFBaHLjgHlLb0h036mmvyUWLISY0K2v3dYggIhpjq9Of0ZCTHkJcdOQGtGj8vrp64z7FLuEhRMgJkWFOj+kR1umvpLkeoNHbT0ODk4DYZFhJjp9jd065Y8ng5DCBWtfeF2SbLhBJCgADjaOvWDgtXFoUHB9urO8W+IEGLUeXwqu2tDp01Ph6DgSPi8AukpmAAzKSgwALP0dlS2Tv18Ar2ZB3pvIkKIqUkvr2A6BAXSUzC5zKSgIA9tSmKIqd5TkBBrojQ9tFT43mlQkEkIodEr9DMvK4E4i3ECWjN6jraEDQqygIRxbIpgZgUFYbuipnpPwZwMu+726VClUQih0espMBoUluQljX9jRlGEngKQIYRxN5OCAt2iRS09Tnqn+LoAc7NCg4L6zn7aw9cVF0JMMW19bqraQi+gpelxE9Ca0VPf1a+bRBkgQcE4m0lBgW4hjIop3ksA+kFB2TSo0CiEGEyvAmDxFA8KVFXyCiaTmRQU6C4rVh9+juyUMTczNCg42Ng9AS0RQowlvYtnSVpoPtFUEyGvQIKCcTaTggLdBcinQxd7aUbom4L0FAgx/egFBcVpU7unAKBSZ1gkIGc82yFmVlCg21PQ2usa73aMqoQYE2nx1pDt02GBJyHEYHp31PkpNszGqb2Mclv49+HQteDFmJpJQcG07CkoCnOXECHyFkJMUXrTp40GhYKUqd1b0OHwhNuVNp7tEDMnKFAI01PQNsWDAr2uw44+N06PfwJaI4QYS03dLhzu0NlSJVM82bDDEfZ9OAXt/VuMk5kSFMQRpnBRW+/UDgpKdIKCRp2114UQ04N+suEUDwrC35yZkAJG42qmBAW6vQQAbX1TO6cgIyE01pkOMyqEEPoqdPIKSnQqmk4lEYYPQPIKxtVMCQp08wkA2qd4T0FavCVkW0OX9BQIMV1V6OQLZessmz6VdIYfPgAJCsbVTAkKdHsKXF4fPVO8mmFKXOjMA+kpEGL6atW5kUmymSegJaOn2+nF6wubByVBwTiaKUHBtJx5AJAaJz0FQswkeuPvybbQ94GpprM/7BCCBAXjaKYEBfozD6b40AFAiu7wgfQUCDFd6XW1T/WeAoDO8HkFEhSMo5kSFEzLngKL0UBCTOibQX2n9BQIMV3pJeXZY8xTvoBRhPdjqVUwjmZKUDAtqxmm6AwdQMTpPUKIKS7cnP6kKT6EECHZUHoKxtFMCQpseht7nFM7yTBVZ+gAoD/8MqRCiCkuXDd78hQfQogwLVGCgnE0U4IC3dfpV9Xxbseo0ksydHv9eP1T+3UJIcLrdXnx6GTqT/VkwyGqGopxMlOCAqPeRt8Uv3jqdRc6pZdAiGlPP9lwagcFrvDvXVP7hU0xMyUoCNNTMN7NGF0mncQiGToQYvrT62qf6sMHvvA9t7o3dWJszJSgQPePyj/FowKjohMUuCUomCnOX5CJ1TT9/4X7K7ZT9/fP46zePazHtTz7W6r+97KQx/Vsf4G6v3+B6j9+jKZH/gdvV9Og/d7uFqr/+HH6yt476baPFb0eQZNxav8thK9dJEHBeDJNdAPGybTMKVD0ggLpKZiWkm1mrCYj7X1u3IF3z4sXZfGd8+fwtQe3c0SnHv5U5nf34zj0Ab07X8ZVt3/Yj3fW7MVx4J2Q7Y7Dm2h/8y6STvskpqRsuj98nNbnfk/Wp38bPKbtpTuILV1F3Lz1J/UaxpLeDc13zpvN59cXT0BrRkdibNiejqJxbMaMN8ODgvFuxugy6ExLlpyC6anf4+O/LprHJ9YU0N3vobXXRbrdij3GzKvfPhOH24vD7cPr9+Pzq/h8Kl6/GqlLdlJ7/aXn+dYdt3PxFR+hZPZHuOO3t/Lba5awZt3pQz7W5XTy0QtuIXXxUvbv2TXocf/11XsxXXMtv7rtTwBs33wOn7ryQp74wnLi4uJ56D9387f+Bp598UmSkidvflthSuiEqpR4KynxoWXPp4HJ+4uYhmZKUKCfaDhF3zAHGHWiAukpmJ6cHj8/fHIPHx5t55dXLxq0Kp7RoGCPMWPXKWQ1VSVfci4frakhOzubf//73wAUpMQxL2voVXRvueVneFz93PaH33H55ZcPepzqdlBUODv4vaswE4A5GXZaW1v5w60/4aGHHuLU+UVj8rqEmOym9iBU9HRfpzrFgwK94QOvb2q/JhHZ0zvruOLP71HW2B3cNtX/jvVkZmaSnZ097Me9/vrr3Hbbbdx5553Ex4cuJ7x27VoefPBBNm3aRF1dHbfeeiurV68mPj6eG2+8kY997GNcdtllo/EShJiSZkpQMC2nJOoNH1jNM+VXOnMdaenjqr+8H6xcqRcczkT19fV86lOf4gtf+AIXX3yx7jHf/va3Wbp0KWvXriUvL4+dO3fyr3/9i9tvv52Kigpuu+228W20iMbUfqOeYmbK8MG0zCnQGz6IMUmi7kzg9Pip7XCQHKbU9VTjdzrxtbXjbWvF296Or70df7+2hkfvBx8A0P3a67TX1es+3ul2c9Wvf0W2zcaPTzmV9gcepHv/ft3HPXT9Z6m66GKcHg+lWVlUvvwK//2j/+a+b3+Hhvsf4CuPPsIHZWXEWq1cu349X73k0jF+9cOX8qlPTnQTxDQ1U4KCaTkl0aBzhxhjlqBgpogmJ6bP08fzR59HQSE9Np3U2FQSrYnEm+OJNcViMVowKsYJ720wxMRgyM3BnJsT3Obr68PX1ob5SDkAismEv6cbb1s7vva24GdPaxvf2reXQ7293F9QSP2vfw1Ag8Ohff7PfzhqsxGjKMFpvDGBj2ZV5UvV1VwZG8u8J5/kuupq8sxmbk9Npc7j4QePPILpzbe4KjFxXH8eQ4lZuADbsmWDtvXv3IWr4ujENGgUxMyZS8zCBXq7Osa7LTPZTAkKpuWURL1SpzEyfDBjhAx/+dxgHNxzEGeO4/KSy/n5Bz/nhYoXwp4rLSaN4qRiCuwF5MbnkmnLJM2WRoo1hQRrAnHmOGJMMZgNZhSUcQkijHFxGOPisBYUAGA/+yzSzjor5LiqqipeLioC4PLKipD9N9fVAvDQ2eewymzG19aGv7cXgHva22nzebklPZ9qj4edzn7+mpdHktFIqdXK5QkJbOjtnXRBgcEaOsug86mn6HzkEVx+P/d3dPB8TzfVbm2Iqchi4fKERD6dnIwpit/dXmc/d7W1sa2/n16/n2yTifPtdr6QkordOPjGo9Xr5Xctzbzd20u/qjLfauU76RmstoXOkHiss5OfNDXyp5xczrXbB+1L+/KXwwUFUzfSmYJmSlCg+18w1Ydiu/tDF3SSnoKZIySptOwF6GuF1Z8f9MdtM9v4zRm/YXXWan6z+Tc4faFLa7c6W2ltbGVL45Yhn9dkMJEXn0dRYhH59nyy47LJtGWSGptKkjUJu8WOzWTDarRiMpjGPIDIysri3XffDdm+Y8cOvvGNb3DHHXewfPlyFi9eTGLg4u53u9m9cSN/u/hinv7DHyjNy6N350742c+wXHA+cW4PvvY2HF2dGP3hq+pMFCU2NnSjz4fD7+ez1dXsczlJMhpZEBNDp89HmcvFgZZm3u3r5e95+REDg7d7e/l6XS1eIN9spthi4Yjbzd3t7bzZ28uDBYUkBAIDt9/P52qqKXe7KTSbKTIa2ed08qXaGl4oLiHbfGxGTKvXy+9bmjk/Pj4kIAAgfPGlqb1y3RQzU4KCXr2N8dapPYWrqz+01KkEBTNHyMJXBhO8+F049DJc+wCYYwbt/uicj7IkfQm3bLiFiu7QO+ron9dLZXclld2VUR0fb4qnKLGIwoRC8ux5ZMVlkR6bTkpMijaUYQkMZRgsGBRDVEFEXV0dy5cv54ILLuD+++9n/frQQkNer3YtWbx4cch+v8HA57/7Xb7y1a9ywde+BsDaSy6h4J57+M7evXz961/nyJEjPP/CCzzwwAPMueACLeehvS3k86DhjLY2fF1dMMaBhEEnKPC7XHT4vNR63NyalcXlCYmYAz/Lnf39fKm2hg8cDp7u6uKapKSw5/5FUyNe4KeZWXw8cJzT7+fHjY0839PNfzra+XpaOgAv9/RQ7nZzU0oKt6RrK9RvdTi4oaaahzo7+E76sVXrf9PchB/4fxmZus+rGMNejkYtKFAUZR7wC+DHqqoeGIXz3Qkkqqr6CZ192cAO4Duqqj54Es9hAqyBj1i0VX/jAp/tQGLg4wVVVfWTboZhpgQFumNSESpoTQndTr2gQIYPZgrviRceQyAgLH8d/jAPPvcqpM8ZdMjs5Nk8fNnD/GLTL3j+6PPj0s5eby972/ayt21vVMdn2bIoTiwm355PTnwOe5r3AFDTU0NDXwNxpjg8fg9GoxGTaWRvYb/61a9wOBzceuutwW0Wi4VnnnmGb3zjG9xwww1kZWXxhz/8gY9+9KMAGO12LEWFQ55b9fnwdXRoCZNtbcc+t2kJlN62tuM+t+Hvcwy7/Ya4uJBtvs5O4gxGHiwspNgyeHhhWWwsn0tJ4fbWVt7r6wsbFLR7vdR7vcyyWIIBAUCMwcAPMjJ4vqebfc5jPU27nf0AfO64Qk+rbDZmW60ccR9btOndvl5e7OnhRxmZZJrDvO8aw97QjGbxlZuAq4FbFEXJATLRLrTHf9iBHJ2P3aqqXjJwIkVRzMB1wEthnssYOH/oOMoJFEX5FPA7tGvy8R8WIs8S9KDd9PYBrcBTQz3XUGZ0UJAQO7Vfvl5PgdVkxKBM/ZkVYmghwweG4/6e+zvgL6vhkt/pDif8+vRfsypzVdjhhInU6Gik0dHIBw3arAMyYdG/F/Hb9t/y28ePlSNO+00aewx7uPrpqylKLCLPnkd2XDYZtgxSY1IpXF5Ii6OFWFMsXr93UELlj3/8Y3784x+HPPeyZct4553Q8sjDoRiNmNLSMKWlRXV8cOZFuN6H43ohvB0d4PVi0Bmv93V1kWQ0khTm4loSCBT61fC9GIlGI4kGA50+H25VxXLc301joOelwHwsb8UQGJk9MenZrxKcSNjv9/OLpiaWxsRwXYQeCsUSdiZN6BvdCCiKYgGuB55XVbVaUZR/A5894Xn6gAS0C20Z0A4cAjYBrYqiGFVVHQhSzkW7Q79/FJr3FvDDQBvcgQ9X4MMNfA04DzgVcAQ++lRVHfWhlal9VYxep97Gqd5ToBcUAMSajfTJwkjTXkiioUHn33kchhMmktvvpryrnPKu8qiOT7YmU5RQREGCllB5/FBGgjWBeHN8MKEy2qGMk6U382IkfJ2dEfdXBe7cc0zh3/eMisL3MjL4UWMjt9TX8e20dLLNZnb29/PzpkZSjUZuTDnWKzA7kPD4UGcHN6dqQdCHjj7K3S4uTdCqRv6ltZVGj4c/5+bqzpgKPndS2GTOyC8sejcCGcAfj9vWDswGelVVdQMoilIFbFFV9Zohzvd5oBp4W1GULJ396YHPCWH2+1RVbVEUJQ+IRws8whnodjFzbLgg3N/nEVVVRxxIzZSgYHoOH4QJClLjrfS1D79LUkwtujkFespfh9/PhZtehfS5g3ZNxHDCROpwddDR0sGOlh1DHmvAQHZ8NsUJxeQnaEMZmbZM0mLTSLImkWBJwGY+llBpUCZ26C5SUOD0+3mkS9t/vl6S33E+kphEjGLg+w31vNF7LB0rw2TivoLCQcmDlyck8Pe2Vu5obeWF7m7iDAb2O51kmkx8PCmJMqeTezvauSElhTnWGL2nCzKG70Voi/jAKATG5b8PvK2q6tvH7VJVVW0/4fAetBmrkc6XDVwJ/Ai4BrgnwuG/D3ycqA7IA+4GLoz4Ao6JJg9iNhBdlKxjRgcFCVM8KHB5/bg8PqwnJBdm2K1US1Aw7XlPnJJqiJBk6uyEv6yZksMJE8WPn7reOup66yCK9K0YUwxF9mMJlQNDGSkxKSRZk44lVI5BbQjV58Pf06O7z+X3c0t9PXUeD2tibazTyUc43hGXi9tbW/ABmSYTuWYzR91umr1eftXcxO05ucQatAAoxmDg7vwCftPcxBaHA4OicGZ8PN9PzyDBYOBLTY1km818JdCLoKoq3X4/cQZDyAyIsQwKgK8AxcB3oji2Gy23IJJvoV0/PwRq0XohjvcdtJ6CrMD5uoATx6v6AFRVvWioBimKchtwnaqqej0Oo2pmBwXTYAGZrn4PGScGBQnTcqU0cQJPSE5BFH/PL34XDr4E1z04LYcTJpLT66Sso4yyjrKojk+JSaEksYQCewE59hyybNpQRnJMMonWRK02hDEGs3Ho2hDetjbQqbtS53Hznfp69jidLLBauS03N2Kb+v1+vlRbQ4PXy48zM7kuKRkAj6ryx5YW/t3Rzo8aG/h9zrHzFFks3JmXH3Ku+zva2eN0cndePjEGA/9ub+eu9jY6fD5iFIWrExP5fkZmMG9hrIICRVHSgZ8Fvu2M4iE9RFiZUVGUTLQxfgBUVS3nuDtzRVESgb8C/wK+CryJ1quwQVXVygjn/RHazIiwFEUJly1WpapqUaTHRmumBAWdehun+vABBIKChMFv7hn2yN10YnoInX0Q5b/zkTdkOGESaHe20+5sZ2vT1iGPNSrGYG2Iq2ZdxXmF5w3a721uDnnMaz09/E9jA91+P1ckJPDjzCxshshDHI93dVLv9fKRxMRgQABgVhT+KyODPc5+Xurp4UsuZ8ThgCaPh9tbW7k8IYF1cXE82NHBb1uauSohgTPi49nU5+Chzk5SjSa+EkjINIYvEHVi9/5w3QEkhdlnURTluhO2JQE5OtsBPkAbhog0o+CTaD0Nj3MsKDgP+AxDXPTRApI1Ott/CFwC6K0d/l/AOUOcN2ozJSjQ7SmwmAzEmo1Ternhxm4nszMHjxFmJUpQMBO4vVHmFOiR4YQpxaf6qOqpoqqniuUZy0P2nxgU/Km1hb+1tZFgMPC77BwuSRh6yWmA7f3aFMP1YYYYzoyLZ1t/P9sd/RGDglubmzAB3w/UKbi7vY1TbTZ+la0lU15kT6DR6+H+zg4tKFAUjOHbOOKeAkVRrkebNvhPtOmIJ7IDD4V5uN72HwNfAl5Hu9Cf+HwGtKGKHRzrPegHngZuUhTlN0MkAfpVVQ3palIUpQMtMVFv38kGTYPMlEntYWtnT/VpiTXt/SHb8pKGGg4T00HYOgXD8eJ34f6Pgif0wv/ROR/lwUsfpDiheIQtFGMh3ZYesu34oOCvra38ra2N+VYrTxQVRR0QgJZ/AGFKwB63PdK0xjd6enijt5fvZWSQYjLR4fXS6PWGBBqn2uLo9Pno8vkwJCSghK9TcDLDB58DHkNL5tPTgZZrcPzHn9AmVM7W2XcF2lTF3+qdDPgEsAi47YTtdwOFwM1DtDdRURT1xA/gm0BmmH23DHHOYZkpQUFnuB1TfQihtiM0oTA3WYKCmSBk7Yvh9BQcb2A4oeVgyK6B4YTLSi4b2bnFqCtMCC2g5G1uAbQkwb+2tVJisfDv/AJyzcNbRXNWYIrhhw79ROX3HX0AlFr085b6/D5+2dzEmlgbH0lMAgguQhV7wuyMgWqLKmBKCTuEDycXFNwBfDHCfr+qqpXHfwB70OIft86+5wPnC7nbDxQz+hlQCQyqYBiY8bAD+JGiKJGmf3SjJSie+PF3oDnMvr9G+gEM10wJCsL2FEz1oKBGZ5ZBrvQUzAgRixcN18BwwuZ/hCSsDQwn/Gzdz4gxytDURCtODO258TQ1AfBMdxd+4IbklJCFi07U6PFwQ3U1/9vcFNz2kcQkzIrCY52dPNfdFdzuU1X+3NrCJoeDXLM57AyG21paaff5+GnWsST5BKORTJOJMpdr0LH7nU4KzGaSjEZMGRknnmpQUyO+kAhUVX1SVdXOYT6sMvB5rs6+X6qq+n6Yx/0cKAV+E6ao0I/R6iT8I8Jzq6qqtp74ATgj7AvtLj4JU7vvPHoutB9cyNUyyTa116PXm3qYkRCD1WTA5Z18C7mI0TNqPQXHe/F7cPBluO4BMA/+d/nI7I+wOG0xt7x9CxVdozs7oWd3D83PNuOsdmKwGIhfHE/Wx7Iwp+gH7apfpe21Njre7sDd7MZoM5KwOoHMazIxxh67GLa90UbbK214u73YZtnI+WwOlvRj//PuNjflPyon93O5JK6eXCsh6kmLTSPBEjoc4D6qLSR4xKXVuHm4s4NXw0xRBPifzExe6+1hc7+Dzf0OvpiSSrLJRJHFwk8yM/lpYyPfb2jgtpYWss1mKt1u2n0+EgwG/pCdo7ug0p7+fh7q7OCrqWkUnVCd8Espqfy2pZn1cXGsi7PxXl8fL/R086usbIBIQUE72gVxPG1D68BYBrx2/I5wFQQVRTkDLeHvfeAuvWNUVX1eUZSXgOsURdmoquqfdA5LjDDDIOLsg3CPGa6ZEhSAVhc6ZN5MZsLUvvOpaOvT3T47M569dd3j3BoxnkKnJI7SYlhH3oDfzws/O+HS0Z2d0LOnh6o/VhG/MJ68z+fh7fLS/FwzR8uPMvuXszFYQjs06++tp+PtDlLOSSHj6gyctU5aX2zF1eii6LtFKIpC9/ZuGh9qJOOqDCwZFlpeaKH2H7WU/HdJ8Dx1/6rDvsQ+JQIC0O8lAHAFgoK+QE7AftdAhVx9vX4/62xxpBrbWRgTM6g08kcSk5hlsfLvjna2OhzsdTrJMJm4yG7n8ympZOmsXeBVVX7S1EiRxcJNqakh+69LTqZP9fOb5iZavF4KLRZ+lZUdzHeIEBTUhX0RY0RV1XZFUQ4CZwL/N7D9hBLHHLe9FHgELXi5EbAFpo8OzFCwKooSH/j6q8AW4DZFUTghMNiFNkxwm06zIs0+OB0oivb1DWUmBQWV6AQF+VN8/L2730tLj4t0++AxvgXZiRIUTHNu3wnvT8ZRHAoLzk74P1j9Bd3ZCauzVvPrD3990rMTOjZ0YEoyUfCtAgwmLQAwp5upvq2a3n29JCwffGfsanDRsaGD1AtTyf6EdqeZuDoRS5qFun/W0bunF/sSO11bukg8NZH0y7TEPFOyiYpfVuBz+jDGGGl7sw1XnYv8W0Pn2E9W4YKCovvvx3noEM8dOojr0CGcBw/hrR+64tK7s2brbl8SG8sfYiPXNDieSVF4sihyQupNKanclBIaMACYM8MGBSe96l80FO0q/nHgelVVLwWeAb6lKErSccMPryuK8qaqqsdPK8xDq2aYCXwabUrhiV00fw58AHwBrQLiy8AdiqI0qKr6eOD5XyL84kqdaAtD6VUqLA+8BoOqRsgAjdJMCgoq0Imy8lOGXMBq0jva2hsSFMzPjlzKVEx9o5pTEM44DCcoZgWD1RAMCABM8dpr0esl6K/ShlDj58cP2p64JpG6fx0LCvwOP5as4xbvsQbOpYK7xU3To03k3ZwXfK6pINxMEOvsWVhnz4JLg4v44evpwXX4MK6Dh7RA4ZD2OVzlw4kUoadgLIMCBUBRlLPQZhOsBt4PTCv8D9pwwFeAXwWOLwVOzMaNRatr8DVVVR9UFMUGfD2wLwmtLsGDaPUNADaqqrpfUZTLgW+jBR8AlwLPRdHmSNMZH0GbfnlSps5/w8mr1NuYnzwNgoKWPk4pHhyBL8iOfhqSmJqcJ+aMjNbwwYnGeDgh7eI0Kn5VQeOjjaSen4qnw0P9f+qJmx9H3PzQhDajTXudriYXdo4Fvz6HT7vgN2vj6rGzYml/rZ3E1YmYU820PNtCbHEshhgDVbdVkbA6gYRlU+v/JFxPgR6j3Y5txQpsK1YM2u6pr8d16DDOQK+C69AhXBWV4BmVxQhHZIKCgrlAKtoKhUfRig4VAzGqqh5QFOU+4L8DeQD7gFzg8AnnOAwsVlW1FkBVVQeBXoHAQke/AN5SVXXQlEhVVV9jcL7Cm2hTIMP5b+AyYG2EY0Yl2ptJQYHurUx+ytQePgAob+4N2TZfgoJpb0wSDcMZw+GE2MJYsj+TTd3ddbS+2AqAOdVM4S2FKIbQhLa4eXGYUky0PNuCOcVM3Jw4PO0eGh5sQDEq+APBUtqFaTgOOjh6qzbebsm0UPD1AtpebcPT6qHwW6FT+ya74QQF4ZhzcjDn5BB/1pnBbarbjauiQgsQDh7rVfA2jjjxf1hMmZnhdo1JToGiKEXASrQE9F8Af0BblvhB4EJFUS6F/9/efcc3Va8PHP+cJE33nkALhZZV9p6KoigKuHCv69brXle9eq9eve6f1+u47q0guLcCioqAgspQWbJHKVA66G6aJuf3x0npyEmatkmapM/79cqLcs7J6RcoyZPv9/k+D7eizS4vAX5A2623quW9GgKCDowlB637oTsNU2bu/pMnKoqSiHRJ9JhuUJAQZSY23ESFxettqf1mze5DTsfiIsPITIwkv9Sru1VEAKlzminww39nHywnlP5Qyt7X9pIwKYG4MXHYa+0ULyxm+wPb6XNnH8ISm79eGswGsm/JZu8re9nzzB4AFJNC+unpWPZbMEYYG6+7NZu6g3XYrXbC08O1ZYMPDtDrhl6oVpX8t/Op3lyNwWwgYWICKSekdPAvyHfizHF0j+lYe2VXFLOZiP79iejfH2Y1HreVlTlmFTZjOTyzsAV7lX6Cc3u/d1iTLYwt+GSmQFXVnYqiXAysUVV1vePwEkVRnkQrFPSYqqpXKYoyGe2T//HAl8BSHwxnMVphI09Il0Qvcvkq1TM5ivUFwZuUt76gDKvNTpix+fprXrc4CQpCmF9nCpryYDnh/hX389n21pdIbdU29r29j/gx8WRennn4eNyIOLbcuYUDHxwg87JMp+dF9Igg5+4crKVW6g/VY043gwH2v7Nf+7qJhi2Iql0l/+V8EicnEp0XzfYHtmNONdPzhp5Yi6zkv5iPMdZI4uREp+8XCIalDvP79zTGxxM1ZjRRY0Y3O16Xn3946aHWkbNQt3MntEx+9YA5u5e7aobOFbW8RFXVOTqHbwOGAI84rikATtN7Olrin8vtg20YR3ZH7+FNXSko2Iu2R8epFFeflOigDgos9XY2FJQzLCuh2fGB3eJYtOGA/pNE0OuUmYIGDcsJJzwKY69wWk548IgHGZ0xutXlBMt+C/ZaO1H9muf2GMINRGZHUrPdfVAblhh2eCah7OcyUCE6T7+wTtFXRdjKbWSclUFdYR01W2vodWMvTDEmIrpHkDAhgYq1FQEbFOj1PACYs2EOg5IHkRWXRUJ4AiY//ByYMzMxZ2YSO7WxD4+9ro66rVup3bzFETBoMwsN1RZd3qtPjqtT9cA2b4xXVdUVuK7e3PS6OkVRprWWxe+oUOj2L9qxrOC9/th+0pWCgobtHINanuiTGuN8dZBZs+eQU1CQ113yCkKZVa84lcEIdj82+PrqNtj8FZw9z+Vywq1LbmV72Xbdp4clhYEBqjdXk3xsY7Ks3WKnZkcNEVme1RGx1dg48OEBwnuEE5Pn/P+5dm8thZ8Ukn1rNoZwA3aL9nenWhs/6Nlqbbo5DIFCLyj4YvsXPPLLI82OpUamMiVzCqMzRtMvsR8Z0RnEhMW4bb3sDQazmYi8PCLy8podrz90CMufjUsPtX/+iWXrVlRHKeXwXJdBwWbcZ9v7hDe29QWzrhQUgDYV5RQU5KTqf7IIJmt2l3LRxOxmx8ZkJ6Eoum3WRQiwtFw+AG22wJ9BAcC277TlhEsWQtqAZqf6JvZl3ox5LpcTwhLCSJqaRMk3JWDUlg3sFjvF32hVCFNnpWIttbL17q3EDI4h60qtpkDhJ4UYIgyYU81YS6yHr+99e2+nN3bVppL/Uj5JU5OI7qf9Xw/vHk5Ychh7nt9D8rHJ1BXWUfZTGZlXOi9VBAKTwcTglMFOx3/d79x2+WDNQd7f8j7vb3m/2fHByYM5oscRDE0dSu/43qREpmA2mn0eLJgSEjCNG0f0uHHNjtft3o3lz82Ys7NdPdWT9XPhZV0tKHBqOwkhMlOgk2yYFG1mYEYcG/YF79KIcM2pdTKAIQx3lex8pvYQPDuuXcsJ3c7tRnhGOKVLSsn/NR+D2XC4JHFUnyispVYUg9LszV4JU7TlgAobxmgjMYNjDlcubOng5wdR61TST2vMcDeYDPS8vif75u5j78t7McWbyDgnI2ArGw5IGkCEyXnWZNUBp2R4l9YVr2Nd8bpmxyJMEUzqNolx3ceRl5RHZmwmCeEJGH21vbUJc8+emHv2dHeJflcm4VNdLSjQTVrpkxod9J+od5dUU1xpITmmecrExNxkCQpCVF29zoyAP/MK9LRjOUExKCQfm9xs+aCpsMQwBjzZfAYi9cRUUk90biGsJ+3kNNJOdt4HH9krkj539tF5RuDRWzoorilmR3nHelDU1teyeM9iFu9Z3Ox4j+geHJF5BCPTR9I3sS8ZURlEh0X7fFahhTp/fjOhkaAAiDKbyIiLYF+Zv/tueNfaPYc4ZmDz/b6Tc1N4eal3m9eIwFBr1QsKfP8Jr1UdWE4Q+oanDnc61pZZgrbaW7WX+X/OZ/6f85sdH5E6gok9JjI0dSjZcdkkRyZjNvhsCeI7X9xUuCdBgcOg7nFBHxSs0QkKxvZOIsyoODfPEUFPtwtmZ88UNPBgOWFMxhgeXPlgh3sndAV6MwW/HnDOJ/C1NQfXsObgmmbHok3RTO4xmbHdxjIwaSCZsZnEmeO8sQThqg+A8KEAeQXxm0NoLSadCkWM6JnINxsL/T4gb1q+pYhbj2u+bzzKbGJ4VgK/7CztpFEJX6lzlWgYSNwsJ5za91QGpwx2uztBwMCkgaRGOS+V+HKmoC2q6qtYuGshC3ctbHY8KzaLIzOPZGTaSHITc0mPSifKFOXprIIVrW2y8LMAewXxixXoBAXDW2znC0a/5R+iqNJCSou8gkm5KRIUhCBLIOYU6JHlhA45Kusop2NlljK2lLYswx9Y9lTsYe7GuczdOPfwMQMGRqWPYmL3iQxJHcLwtOGEG51KxwC4L24gfMa5BVnoW6F3cFhWAgG8RdkjdhW+/9N5tmNSbuCWbhXt51S8CAIjp0BPw3LCyhecMnoblhPum3gfEUbP6hJ0JXpBwS/7f0HteDE9v7Nj55cDv/Dkmie5bNFllFnKXF36oz/HJRp1xaBgpd7BmHATfdOCv92w3hLI8KwEYsID8BOk6BCnLokQmDMFTX11G8w5FazOlQpP7Xsqb894mz7xwbEjwB/So9LJS85zOv7t7m87YTTelRyRTFqUy+6IL/lzLKJRVwwK1uCiStaIngn+HYkPLNtS5PQJMsxo4JiBLv/ziSBlt4Pach+tsbVmawGgYTmh0LlsSMNywqw+s3Se2PVMyZridKzeXs8Pe3/ohNF416AUpzpyTf3mr3GI5rpiUFCLFhg4GR4CQUGlpZ6VO4qdjs8a5pvuaiLABPpMQYOG5YQVz8tyghtHZx7tdGzVgVXupt2Dxqj0Ua5OFQDStKWTdMWgAFzkFYzICsxGKG317SbnJYQj+6YSHxkEnyJFxwRqToErC26X5QQXIk2RjO021ul4KCwdAIxOH+3qVPBPgwSxrhoU6OYV9E2LITYE1t4X6+QVmE0Gjh/ksme5CBXBMlPQlCwn6JrYfSJmo3PZ5m/3BH9QEGmK1M2VcJCgoBN11aBAd6bAYFAYmhWYtc/bYndJNVsOVDgdnzWsWyeMRviSU/55MAYF4NFywr8n/ZtIU6T+80PQCb1PcDq2oXgD+6v2d8JovGt42nB3LZ6X+HMsormuGhTswMU+2OEhsoTw1TrnF46JOSmkxDh/8hBBrGVUEKxBQQM3ywmn5J7SZZYT4sxxulsRu8DSQRHSHbFTddWgQMVVXkEIJBsCvL8q3+mY0aBwwmCZLQglITNT0NS27+CxflDo/N6Qm5DLvBnzOCnnpE4YmP8c1+s43aI+i3Yt6oTReJ+bJMMf0PmxFv7TVYMCcJlsmODnYfjG7pJqVm6XXQihzmlLYrAlGrpiKYdnx7tcTnhg8gMhvZwwK8c5h+K3wt/YURb8zc3CjeEMSRni6rTkE3SyrhwU6CYbJseEM7Bb8BcxAnj31z1Ox8b2TiIzMTRfSLuikJwpaGrB7fDmKV1qOSE7LpuR6SOdjn+49cNOGI33DUkZoptA6SD5BJ2sKwcFPwP1eiemDkjXOxx0vvxjP5UW5z/iuWN7dsJohC+0nCjAEILbTnd836WWE2b3m+10rNpazcKdC3WuDj5u8gnKgD/8OBShoysHBRW4mKo6NkSq/9VYbXzx+z6n42eNycJs7Mr/9KHDqf59qM0UNOgiywlhhjDdAGfRrkVUWas6YUTe5yafYCmg0+VL+FNXf2f4XO/gsMyEkMnS11tCSI4J54QhUrMgFDjPFIRIToErIb6cMDVrKkkRSU7HP9ryUSeMxvsijBEMSxvm6rQsHQQACQp0GAwKR/UPjdmCVbtK2Xaw0un4hROy/T8Y4XV2p0TDEJ0paCqElxPOGXiO07EdZTtYXbi6E0bjfRO6T3A3myNJhgGgqwcFW4DNeiemDgiNoADgA53tiaN6JTIsM/gLNXV1zjMFXSAogJBcThiWOkx3av3jrR/7fzA+MrXnVFenioBVfhyKcKGrBwXgYrbgyH6phBkVf4/FJ977NR9LvfNS3aWTe3fCaIQ3dcmZgqZCaDnh0sGXOh2z2CwhExQYFSNTMp27Pjp8iuQTBAQJClwEBTHhJsb1Tvb3WHziYKWFj9cUOB0/cUg3usV37S50wa7L5RToObycsMHpVMNywsk5J/t/XG3QJ74PR/d07oj42bbPKKkt6YQRed+ItBEkRrisGPuxH4ci3JCgAJYB5XonjgmRXQgALy/d7nTMZDRw0cRs/w9GeE2XnyloYCmHZyfAT8/pLifcP/l+7p90f8AuJ1w06CLd429teMu/A/EhN0sHVcA3fhyKcEOCArACC/ROHBMi9QoAthRW6rZUPm98L5KiQ2OnRVfkFBQYQ7BOQVssvMPlcsLJuScH5HJCelQ6M/vMdDq+NH8p28ucg/lg5SYoWAA4/4OJTtFFP1Y4+Qw4s+XBnslR5KTG6GbvB6MXf9jmlEAZE27ir0fl8MAX0oMkGNnsLQ501ZmCphqWEy5dCGnN2/M2LCc8uPJBPtn2SeeMr4Xz884nTCeYe3Xdq5StLKP422Jqd9eCHcK7h5N4RCKJRyWiGDzLeSr7uYySb0uo2V2DWqcSlhRG7LBYUk9KxRTb/Oelvqye/e/sp+K3CuwWOxG9Isg4I4PoAdFO9y35voSC1wvoeX1P4kbGuR1D/8T+9Ijp4er0xx79QYRfyEyBZgHQ8uUVCK0lhBXbS1i1q9Tp+IXje5Ee59x8RQQ+5+UDz3IKFm2rJ+epCr7fqVvU87BzPqhGube81eseWWZBubfc6fGv72sPX1NtVbnuyxq6/aeC1P+r4MrPaqixNh//J5usxD5Uzo5S3f+OnguS5YTYsFjO6HeG0/G1hWv5/H+fs+e5PVRvrsacaiY8M5za/FoK3iwg/wXnHUV6Ct4oYM+ze6jeVk14t3DCe4RjLbVS/HUxW+/ZSl1x3eFr7VY7Ox7dwaEfD2GMMRLRK4KanTXsfHxns+tACx4OvHeAuFFxrQYE4HaWwAZ84dEfRviFfKzQFAE/AZNanpiWl86LP4TOFN7T327h9YvHNjsWHmbkuql9+cfH6zppVKK97HbPcwoq61Q+2mjlhVVWlu9pPdF76a565q9zHww0KKxSSYpUmHta8zfZ3KTGzx13Lbbw0aZ6HpwaTr0d/r7YQmq0hfunasmuxdV2rvy8lsemRdA70UufVxbeAZsXwLnzIaz52E7OPZlBKYO4dcmtbDu0zTvfr40uGXIJ0WHOn8IfW/AYRV8WYYg0kP23bKL6RAFgLbWy8z87KVtZRuJRicQMjHF7/8r1laTMSCH1xFSM0VrAWFdcx+6ndlO7q5YD7x8g68osQJtRsOy1kHJiChlnasXNqv6sYsfDOyhZXHL4GMC+t/eh2lW6ne9Z11U3QcH3gPMnFdFpZKagke4uhDHZSWQlBWZyUnt8/+dB1u0tczp+1pgsaZQUhGxtSDT8Zns9F39SS68EhX8f7X5mqLZe5crPaxnZzbOXiMJqlaw4hem5pmaPpkHBexusPDA1nItHmLl8lJmbxptZuK0x6Lj6y1qGZxi4crSXc1wCdHdCelQ65w883+n45pLNLF25FFRImJhwOCAACEsMI+0kbfayZkfry/CZV2SScUbG4YAAwJxspvv5WrfUyj8al0Zrtmv3Szkh5fCx6P7RRGRGYNlnOXys4vcKylaWkT47nbDE1nNYesT0YEDSAFenP271BsKvJCho9KmrE6ePyvLnOHzu6W+3Oh0LMxq48di+nTAa0RFtmSmYkGlkz00xzD0tisw49+vRdy22UGVVufcoz5aVDlbZSY1WqKpTnds5O5RZVBIjG79vjLlxZv+99VYWbavnlZN8FJgeXk541mk5IdIU2SnLCdeNuI4Ik/OW4CfXPElYuvZmW3/IeabGWmoFIDy99X+bqNwo3ePmblrgZa9rXKZpyFFomaugqurhdpx2i52CtwqIzIkkaapzOWY907OnuzsdGIkd4jAJChptAHRriZ4+KhMPc3qCwqIN+/k9/5DT8VNHZJKT6n46UgQWWxsqGqbHGOgW2/p/+W+21/PEyjqenxFBjNmzH/zCKpVvttuIeaiCsH9XMOrFSuavsza7ZkKmkf/8VMf2UjvrC228sMrK1N4mDlTaufrLWp6cHkGPOB+/JC38O7x5ssvdCfNmzCMnIce3Y0BLvJuVM8vp+K/7f+WH/B+I7BVJwqQEyleVc+CjA1gPWbFV2ShdWkrhh4VE9Y0idkT7W7zXHdByBMzJjbMy4T20IKN4cfHhY5UbK7HstRwOLgo/LsRaYqXHRT08TnQ8JfcUV6dWAc7NWUSnkqCgudf0DvZIiGRiToreqaCkqnC/zm4Do0HhpmkyWxBMbE4zBR0rXlRQYee8D2u4fGQYJ/T1fHvjw8dGsPD8KBadH8WT0yOoqoNzPqjhuV8aE9SeOiGCggqVnKcqGfxcFZlxCv84MpyrvqhlUpaRC4f5aWvsjiUulxNyEnL8spxwy+hbMCjOL7//XfXfw1/3uLQHydOSOfjJQf688U82XrORva/sJbJPJL1u7uXxm7KeooVFAMSNakwSTJiYQFhyGIUfFrLlzi1su28bOx/biSnRROJRidTsrqFoUREp01OIyPKs6NnItJFkx2e7Ov1uu/8AwmckKGjubaBO78SZozP9PBTf+nlHCV+tc26rPHNod0b3cll1TAQYbxYvqq1XOf3dGjLjFJ6Y3rZKl8flmDgux8S0HBPXjDWz8rJoesUr/GuJ5fBywoAUIxuviWbdX6PZeUMMiy6I5pNNVpbttvHCzAjW7rdx4txqsp+oYPKrVSzY6lmSY7scXk54xu/LCZO6T2JC9wlOxxftXMTvRb8f/n35qnJKl5aCAuYMM5F9IlHMClWbqij6sqjd37/w00LKfy7HGGsk+bjGqq0Gs5bUGDM0hrqiOiwFFmKHxdLn730wRhkpeL0Ac7KZtJO1nAZVVbFV2VCdpqsandr3VFenbMCb7f5DCJ+R3QfNlaAlvjjVLDh+UAZxkSbKa3z4QuVnD3+1iWMGpGM2NY8NHzh1CDOeWkp9y0+hIuA4/RsZ2le8SFVV/vJxDX8W21l2cRT1dm23QsOWwRqrSmWdSqRJm1FqTXyEwsx+Jp75xcqBKpWMGO05JoPCoDRtNqOgws71C2p5cWYkKnD0G1X888hwnpgeztfbbJwyv5rf/xpNv2Qflm5eeCdsXgjnvqO7O2FwymBuWXKL13YnGBQDt4y+xel4vb2ep9c8ffj3NbtqyH8hH0Okgd439Sa6v7ZDob68nj3P7+HgZwcJSwzzeF0fHPkAbxZwaLm25TD75mxMcc3fAsIzwsm+OdvpucVfF1OzvYbsW7MxmA0ULSji4BcHsVXYUMwKiZMTyTg3A0OT15LosGiO63Wcq+F8Aez3ePDCb2SmwJnuEkJ4mJGThnb391h8aldxNa//uNPpeP+MWGmWFCTs9hb7+ds5U7C7TOXd9fWU1KjkPVtF7EMVxD5UwYlva2vvJ75dQ+xDFSzd7XnPGosjfo4K0w8iLvu0lum5Js4YFMbnm+vJjDNw84Rw+iUbuWasmQEpBr7e5oceOQ3LCQfWO53y9nLCqbmn0jfReYnuwy0fsrN85+HfH/z0IGq9SsbZGYcDAgBTnImsv2ZhiDJQ+Ekhar1ngXttfi3b7t3GoeWHiOwdSc7dOUT29mwWxFpq5cAHB4ifEE/M4BiKvylm//z9xA6NJevqLBImJlDybQlFXzSfvTg++3iiwvQTHYFXPPrmwu9kpsDZ18BewKn81hmjs5izcrf/R+RD//t2C6ePynQqdXzjsf344o995JdK9dFA5jxT0L5P1RkxCksvdn4BX7NP+zT/1PQIRnQzMCTN+f52VUVVm88gFFbZ+eTPesb2MBAX7hwUvLy6jjX7bay/WktsrapTDwcRDSrqVIz++thiKYfnJsLxD8L4q0FpHHPDcsKYjDE8sPIBaurb938iJTKFm0fd7HS82lrNc7891+xY1eYqAGKHOCcTmmJNROVEUflHJZZCCxHd3S/1lK8pZ89ze1CtKqkzU0k7JQ3F5Hk+QsFbBShGhW7naDUJir4sIjovmszLtSXV+LHxWEu0gkgNSwsAp+We5uqWB4CvPB6A8CuZKXBmA97QOzEsK4F+6aGVnV9eW88T32x2Oh5pNvKvkwZ1wohEWzgnGrYvzg83KUzuaXJ6DEnXXiKGpBuY3NNEfITC55utRD1QzourtPSbcgsMfKaKR5db+HCjlcd/sjD6xSqqrCpP6eQm7C6zc8uiWl6aFUGSY4viMX1MbC+1c8VnNXy40coVn9VwoFLlhFw/f25ZeKdjd0K106mO7k64c9ydxIU7V/97/rfnKapp/ilbbaj06Oq923FcrXM/U1C5oZLd/9t9OF8g/fT0NgUE5avLqVhdQcbZGZjiTNRX1GMtsToFKzF5MdgqbdiqtJmdPvF9GJY2zNVt30DrOSMCkAQF+nSXEECbLQg1b6/czbZC5/4Oxw5M57i80GkKFYqcZwp8/yZqUMBo4PA23UgTDEoz8J+f6jjr/RoeWlbHuEwjKy+LZlxm8/Goqsoln9Qwe2AYM/s15j8MTjMyb3YkS3fbuOCjGtbst/H5uVH0SuiEl6gdS+Cx/m6XE9xss9N1bM9jmdZrmtPxzSWbdTshNmwPrNpY5XTOVm2jZnsNilHBnOZ6x4a93s7eV/aiGBWyb8smJq9tH2hsNTYK5hQQPSCaxCO05OPDtQxabFVtCDQakkrdJBiCm9dX0fkUV4VGBD8AR7Q8WFRpYfyDi0MuCe+ofqm8fslYp+MFh2o49vElVNf5YW1XtNnbl49rvl12w6fw7gWdN6BQo7Oc0OCTrZ94tJwQZ47j45M/JjUqtdlxu2rngi8vaLbjoEHp8lL2vrQXU6KJXjf0IjJbW/+3VdnIfymfirUVxE+IP1yi2FpiJf/FfCJ6RRye5q/4vYJdj+9qdl1bFMwpoPT7UnLvzyU8o7FQ0qabNhE7LJYeFzWusOa/kk/15mr6PdIPk8HEN6d/Q3Jkst5tlwOT2zwY4TeSU+Daa+gEBSkx4UwdkMaiDQc6YUi+8/3mg3ywKp/Zo5pvveyeEMlN0/pJF8UAVd9yO1gH6xSIFg7vTpgPLZLmGnYn3LrkVrYecq4S2uCW0bc4BQQA7/75rm5AAJA4KZGqTVUcWnqIbfduI7xbOIZIA5Z8C3aLnfDM8MOligHKVpZRtamKqk1VpM7Uuh9aCrTSxNVbqtn52E6X40s6OqlZvQKA6u3VlCwuIe2UtGYBAUDqrFT2z99PzOAYYgbFULmukrKfyuhxmRYkTMmc4iogAEkwDHgSFLj2HvA04NSt5IIJvUIuKAC49/P1TO6bQnpc83XgSyb15usNB/h5R0knjUy4Uu+l3QfCjYblhEsWQHrzPJuchBzenvE2D658kI+3fuz01HEZ4zitr3PCXWF1IU+uftLtt828NJPYwbGUfFdC7Z5a1GIVc5qZ+HHxJB+XjMHcZPvfoGhMcSYisiMwxmiBob1W+9mwFlmxFrlewo8Z0nxZQbWpFLxeQHi3cFJmOBdtS56ajL3Wzv55+6k/VI853UyPy3qQMD4BgPMGnufqW1Wiva6KACbLB+69Clysd+KEJ39g474KPw/H944ZmMYrfxnjdLzgUA0nPLmUshrJDwokL14wiuMGNXavY9u38Jbb9VzREW1YTog0RfLhSR+SGetc+Ozm72/m611f+3y4/paXlMc7s95xdfoV4DI/Dke0gyQauveSqxOXHdHHn+Pwm8UbC/lgtXOv9u4JkTwye2gnjEi40xmJhl2aB7sTchNyAbh9zO26AcGSPUtCMiAAuHDQhe5Ov9DW+ymKkqooynidR4yiKCZFUXI9ePRpcr9MF/dzqvqlKEq0oiiViqI47yMNYRIUuLfC8XBy0rDudItvWynYYHHvZ+s5UF7rdHz64AzOHduzE0YkXJGcgk7Qyu6Et2e8zd3j72Z2v9lO5w/VHuK+Fff5Y5R+lx6VznHZLisYLgV+acdtZwA/6TwGA5nAFg8eTZtcXObifhmKojyoKErTfzQFbfn48BYPRVGMiqK8qijKyHb8WYKCBAXuqcBjeifCjAYumpjt39H4SXlNPXd+9IfuuX/OzCM3LbRqNQQzq01yCjpFQ7GjH/+n2zvhjP5n6D7tnh/vobC60B8j9LtzB55LmOsy24938PZjgd7AOTrnHgVmOR47gMVNfj9P5/o6x716A39zHLMC44FnFUVxmSUJ/BVtSdm5xWWIkKCgdR8DuoXPzx3Xk9jw0HwRdrWMEGk28vQ5Iwg3yY9OIJBEw0626C6XywktvfPnO3y751s/DMr/YsJiOKOffiAEbAU+6+C32KOq6k70+yWsUVX1c1VVPwfKgfwmv3euzAaqqqo7HfdrWjXqCiAOeEJvAIqidAf+DawGHmjvHyTQySt762y4iHJjI8I4b3zoTqff99kGCg4578Ee2C2Ov584sBNGJFpyXj6QoMDv3CwnNNh2aBuP/aI76RgSzup/FrFm55LMDk+gvY4GNFVVt6LNDJ+vKMqJTc8piqKgbVOPBC5UVTV0OuO1IEGBZ14HivVOXDq5DxFhofnXWFZj5Zq5q6mrtzudu2hiNtMHZ+g8S/iT1Uu9D0QHWcrhB/03/TpbHbf9cBu1Nuc8nVAQbgzngjyXBbNK0V4/OypVUZQMwPO2kK4piqKMVhRlNJDd4tzDwHa0pYWmegLDgLtVVXUd/YWA0Hw3875q4Fm9E6mx4Zw9JnRnC9bsOcR9n2/QPff4mcMY2M3lpwPhB1Zbiw9gMlPQOdIHwclP6556fNXjbC7Vm8UODafmnuquWNFTgHOt5rb7HdgHfOCFe5nRkh5/Ae5pekJV1SpgoKqqz7Q4vgstuTF0p3scJCjw3FNowYGTK6f0wey3dm7+N2fFLt38giiziZcuHO3UYVH4jywfBICYNDj3HTA7J+AuzV/K3I1zO2FQ/mFSTFw0+CJXp6vQCsB5w2zgaOAmL9zLAmQ5Hoe3GyqKskBRFBWwOH5tKETzkOP3BwGboiiqoiive2EcAUleQTxXBDwH3NLyRLf4SGaP6sG8n/f4f1R+ctdHf5DXLY6B3ZqXQ81MjOK580dy/ssrsbZ8gxI+V+e0+8Bl9rfwBVMEnD0P4vV7Czz888N+HpB/nZR7Ej1inLrMN3gRF8uu7fCjqqr7FZ2iUcAURVEa9ocnAbmKolzk+P1wvSeoqpoPoChKaZPDbwO/Nvl9GHAb8B3wY4tbrG7L4IOJBAVt8x/gWiC85Ymrj8rlvV/zQ65RUoNaq52r5qzis2snExfZ/I1nXO9kHjptCLe+p1/HXfhOfb3kFHQaRYFTnoPM0S4veWHaC1z37XVueyMEqwhjBFcPv9rVaSsd34boqascjwZZwKQmv7d4chNVVd9s+ntFUWLQgoJFqqqGdnTXROjOefvGPuBlvRNZSVGcPSb02io3tau4mpveXat77vRRWVw3Nde/AxI6MwUS5/vNlDtgsHNfg6YyYzOZc+Icjs462k+D8p/zBp5HepTL1upvAs5rjr5xBZDq4vEIELI7BXxBgoK2exQXP2Q3TusXsnULGizeWMjT327RPXfLcf05ZbjLqUThA1K8qJMMPROOusOjS6PDonlq6lNcPuRyHw/Kf+LD47lkyCWuTtcB93vpWzVMfe1zrOt/p3NNhaqqRS4ed6iq2jTZwwCEK4qSryhKPv6bzQga8grSdruBN4BLW55IiQnn6qNzeGTBn/4flR/99+vN9E+Pbd6Ix+HR04dSVGlh2dYinWcKb3PaLipBge/1P0FbNmij60deT9/Evty9/O6g3554+ZDLiTPHuTr9DLDTS9+qoUvtxUAtkAf8s4P3swDzHb8fBEwHRiiKMqnFtQ3rpMc5lhJaelFV1d0dGEtAkpmC9rkP7QfUySWTe5OZGOnn4fiXXYXr569hze5Sp3Nmk4GXLhzN+D7e2E4sWuM8UyA5BT7Vewqc8bp+8FWwFqzOxb6aOqH3Cbxxwhvupt0DXvfo7pwzQK/aMKBVFHzQi98uFrCqqvq6qqrzgTaXhHQ0QdqkKMopQDywT1XVW1VVvRVoaOk4DLirxeM2x7mjdc7dhVa7IORIUNA+u3Ex7RRuMnL79AF+Ho7/1VrtXPrGr+woct6CHGk28spfxjC6V2InjKxrqZMtif6TOQbOeVvbcdBSyQ6Ycxo8MQTK97m9TV5yHvNnzmdY6jAfDdS3rhlxDWajy23ID9O8dHBH9UbL5eqInkB/tEJFOWhbC1t6XVVVpekDLSAB+HvLc47Hsg6OKyBJUNB+DwMH9E7MGtadkT0T/DuaTlBSVcdfXv2Zokrn5N7ocBOvXzK2S/w9dCarLB/4R8YQOO993VoE1B6Ct8+A6mKoOgj/zYOd7t8vUiJTePX4Vzkp5yTfjNdH+iX2Y2afma5OFwBPevlbDgD0u7N5rr/j1/VoywWhW0nKCyQoaL8K4B+uTv5zZh76W2pDy+6Sav7y6s+U11qdzsU4AoOhmfGdMLKuwdKyoqFR6hR4XUpfuOAjiExwPmepgLlnQlGT5FvVDq/P0O2g2JTZaOaByQ9w6+hbMSrBsexz08ibMCgu3zbuwUWBt/ZQFCUaGEPz9vUNP+Aq2rZHgJRWbjUNsAMlaDsSfmtyTqLoFhTVzQ+taJURWAMM0Tt5/bw1fPpbgX9H1EnG9k7izUvGEhHm/OJWVmPl3JdWsL6gvBNGFtqm9EvhjUvGNT94XxLYA77/THBIHwwXfgzRqc7nLOUwZzbs+dn18wfNhtkvtjqDs2zvMm5bchsV1gq313WmsRljeeX4V1yd3oT2Oui17X+KopwHzEH7dN8XbRngdOBIoA/aMm4pUAO8gHNAYgRGAqcBn6JtkbwaGAWMA2KA89HKF0erqtosT8yRXFiBtnwgdQqER2w0KZPZ0m3T+3eZFsM/7yjhr3NWOye+AfGRYcy5dBwDMqRPgrc51SkAWULwlswxcNEX+gFBbRm8dar7gABg/Qfw3CQtgHBjco/JzJ0xl+y47PaP14eMipG/jfmbu0vuwPv1AGYD36uqugHt0/5TaG/mL6qqukNVVRvam7wdbUfCQy0e9wNHoVUqvBg4Atilqupq4Hi07eW5wP0tA4KurGu8Y/nWN8AXeicyE6O4dHLLZluh67s/C7lx/lrdwCAx2sz8K8ZL8qGXWaw6M30SFHRc7ynaDIHekkHtIXjrFMj/1fmcnoOb4D8Doch9VcPe8b2ZO2MuE7tPbONgfe/8vPMZkOQygfpHtE/i3nYejq3fqqpe60j+i1RV9cqGC1RVnaOqajcXiYCKqqrJqqqep6pqCfBXtDbOqKp6iuN8tKqq9+h87y5LggLv+Bsu+oVffXQuKTFdp2HQF3/s46o5q7BYnf86EqLMzL1sHCdIy2WvqavX+bGToKBj+p8A572nn1RYcwjePBX2trH0fV0l/G8UbPjEbZ5BnDmOZ495lgvzLmzb/X2oe3R3rh7mspwxaFv3vL4Orapqjaqq21sca/f3UVV1Odpsg6fXVzoChy6zdAASFHjLRrRmSU5iwk3cenx/vVMha/HGQi5+/Req65xnE8PDjDxz7kgumZTt/4GFIP3lg+BIWgtIQ8+Es+aAyam9CdSUwpsnQ0EHeuG8eyF8c6+WjOiC0aBN1f970r8JC4AGV3eNv4uosChXpz8AlvtxOB2iqm7+4gUgQYE33QuU6Z04e0xPJuS47Dcekn7cVsz5L/9MeY3zrgSDQeHuWYP4x4yBXWKHhi9ZWm5JBJkpaK+j/g6nvaT/91ddAm+cBPvWdvz7LP+vlo9Q775Pzym5p/Dq8a+SHNF5rx3H9TqOIzOPdHW6ArjBj8MRfiBBgfcUAf92dfL/Th9KtLlrfYJbvbuUc15aQUlVne75y47ow9PnjOgyyZi+UGeVoKDDTBFw+quuexlUF8ObJ8F+L3YB3f49PDVCq2vgxvC04cyfOZ+BSQO99709FBMWwx1j3fZ3+Duw10/DEX4ir8be9T9gm96JzMQobj8h9CsdtrS+oJwzX/iJA+X6yb0zh3bnrUvHER/Z+dOkwahWcgo6JiZN22EweLb++aoieGMW7O9o/Rwd5XvhPwNaTVjMiM7gjRPe4Pjs470/BjduGHkDqVE6Oy80PwPP+3E4wk8kKPAuC837ejdz4YTsLreMALC1sJIznv+J/FL9uiZjeyfx8TWTyOvmssGKcMGpIRJIUOCp9MFw+beQOVr/fFm+FhAcWO+7Mdjr4eVj4NdX3SYgRpoieWzKY1w34joUfL/mNix1GGf2P9PVaRtau2IphhGCJCjwvm/QCmnoenT2UKK62DICaJUPT332R1bvcm6iBNA7JZqPrp7I2WOy/Dyy4CYzBe005HS4dCHEu/h527UcXjwKCjf4Zzyf3wSfXttq0akrhl7BE0c/QZTJZeJfh5kUE3ePv9td5cLHaV4VUIQQCQp84za0altOspKiuKMLLiMAHKywcM5LK3jv1z2658PDjDw8eyiPnzmsSwZO7aG3+UCCAjdMETDrSZj9iv6WQ4CfX9R2GbSy3u91a+bAS0dDnXOTsaam9pzKnBPn0COmh0+GceGgC+mX1M/V6V1oSdUiRElQ4BvlOIpu6LlwQjYT+nS9ZQTQsuX/9v7v3PfZemx2/enS00Zm8sk1k8hNc/GiLZpx2rotQYG+5Fy47BsYdZH++XoLfHItfPk3sDnvmvGLfb/B43lQusvtZX0T+zJvxjxGp7tY+minfon9uGb4Ne4uuRpwH7WIoCZBge98A7zo6uQjXXQZocGry3dy0Ws/U6azZRGgb3osn147iVOG++bTUEiToMDZkDPgyiVat0M9Ffvg9RNhzVv+HZee2kPw5FDY8rXbPIPEiERePO5Fd2v/bRJhjODRIx911xb5PeBLr3wzEbAkKPCtv+FiGaFnchS3T++aywgNlm4p4uT/LWPLAf0mMFFmE0+cPZyHThtCpE6jJeGCFC9qFB4LJ/0PZr/serlgz0p4YYrnZYv9Ze7p8MOjbgODMEMY/xz/T+4adxcmpWPB4K1jbiUnIcfV6XKkJkGXIEGBb5UDl7k6+ZeJ2Yzvk+TH4QSencVaAuI3Gw+4vOacsT1ZcOMRXf7vyhWntwyZKdDkTIWrf4KRF7i+ZtUb8PpMqHT989epvnsQ5p/T6nLG2QPO5oVpL5AQntCubzM1aypn9T/L3SW3APvadXMRVCQo8L2vgZdcnXx09rAuV9SopUpLPVe8+SuPLtik20wJoFdyNPOvmMC/ThrUpZdddLWMCrp6UBAeB7Oeggs+cr27wGbVMv4/ux5s+sW1AsafX8H/xmhllt0Y220s82bMIzcht023T4tK496JbnMHPwBc9kwWoUWCAv+4FdBNue+ZHMWjpw/z83ACj12FZ7/fxinPLHe5nABw0cRsFtxwJEf2TfHj6AKb00yBsQsXgso9RpsdGPUX19dUHoA3Zmq1AYJF6Q6t0NH+dW4vy4zNZM6Jczg662iPbmtQDDw4+UESIhJcXZKPVpPA6w2PRGCSoMA/3C4jzBjajcuO6Dotlt1ZX1DOzKeX8dryHS6v6ZkcxZuXjuO/Zw0nObrrdKB0RW35et0VcwqiU+GUZ+H8DyE+0/V1v82DZ8bB7hX+G5u31NfC85Pgt/lu8wyiw6J5aupTXD7k8lZvefGgixnXbZyr0ypwPlDSnuGK4CRBgf8sAl52dfKO6QMY11vWzEHbtnjvZxu48JWVLssjA5w6ogff3DyFs8ZkYejCjZWc3h+60vKBMQwmXAvXrYLh57m+7tBumHMafHRVq9PwAe+jK+Gr29x2WgS4fuT1PHrko0QYI3TPD04ZzDUj3G4/fBBY0u5xiqCkdKA9tWi7OGA1oJvie7CilhlPLaOwwn33tK4kISqMB04Zwoyh3dxet3FfOQ9/tYklm/1ccCYAbL7/BMxNm0q9cz5s/KzzBuQvucfA9IchxWWhHc3KF2DxfVBX6Z9x+UvP8XDBxxAW6fayDcUbuP7b6zlQ3ZhMGWWK4r1Z79Ezrqerp60AjgQ6qWCD6CwyU+Bf5cBpQI3eydTYCJ49byRhxi78sbeFQ9VWrnl7NTe/u1a3DXODgd3ieOOSscy5dByDunetHgrOywchPlOQ1AfOmactFbgLCIo2w6vHa5+qQy0gAG0J5IkhUO5+U0Bech7zZ85nWGpj7tK9E+91FxBUAOchAUGXJDMFneN8wGWVlNeW7+Dez/xUcz2IpMSY+fuJA5k90s2ascOHq/P5z6LN7D2kG3+FlE3/nk5E0zoOH1wKf7zfeQPylZh0OPJWrSKh6wI7WpOhZU9oe/zru8Csm2KAv3wG2ZPdXlZnq+O+n+4jOTKZm0bd5O7S84G53hyiCB4SFHSeZ9BKhuq6ft4aPv2twI/DCR7j+yTx75MH0zc91u11lnobry/fyTPfb6W8pt5Po/O/jfdNJ7LpNs2PrtSS0UJFVBJMvB7GXQlhrTQC2vcbfHKNb1odB7rjHoAJ14DSoZnGOYCbwg4i1ElQ0HnMaEk84/VOVtfVc8ozy9l8IASnPb0gzKhw8aTeXDc1l9gI91vwymuszF25i9eW7wzJfI319x5PdHiTJYNPrtGa6wS7qCSYcB2Mu8J1NcIG9bXw3UPw09OtdhoMaYNmw+wX27uEtB0YgbbMKbooCQo6VyZa4mGq3sltBys5+X/LqbSE7qfcjkqJMXPLcf05a3QWhla2INTV2/l47V5e+mE7WwpDJ9j641/HNQ+MPrsBVr3eaePpsMRsbVZg5IWtBwOqHf54T6v8V7rTH6MLfKkDtMZP4e5n0lqoASYCa30yJhE0JCjofFPRqh7qJn0uWLefq+as8u+IgtCg7nH8Y0YeE3I86z757aZCXvphOz9tL/bxyHzv93uOIy6ySVDwxS3wi8vdr4Gr10QYfzUMmKGtk7dm80JtV8EB9wV9uiRzDFyxBFI8rm54DhBCa06ivSQoCAy3Aw+7OvnEN5t54pstfhxO8BrfJ4kbjunncXDwe/4hXvphO1+t20+9i1bOgW7t3dNIiGqSePfV7bDy+c4bUFsYw2DQaVow0H24Z8/ZvQIW3wu7fvTp0ELCmW/CwJNayzNYi7ZsIAQhvncpaDwKjANO1Tt547H9KDhUy7u/6lZKFk2s2F7Ciu0rGNc7iRuO7cvEHPflkIdmJvD0uSM5WGHh09/28sGqvWzYF1xLqk6xTDBsSUzLg+HnwtAztV0Fnti7CpY8os0QCM9sWQR5J7u7ogSY4KfRiCAgMwWBIx74Beird7LeZueyN37l+y5YnKcjxmQncsMx/Zjchl4JG/eV88HqfD5ZW8DBIEhM/PWuY0mJDW888PU9sPyJThuPS1FJMPh0rfKgp7MCALt/giX/B9sW+2xoISlnKpz7jrvtm/XAAGCb/wYlAp0EBYFlMLAS0N13VWWp5+wXV/DH3jL/jioEjO6VyA3H9uWIvro5nbpsdpWlWw7ywap8Fm04gKXefVnZzvLznceQFteklO3if8PSxzpvQE2ZY7TKg0POgH7Hu68v0NKOH2DJo7Bzqe/GF6p6jNRqF7hP1DwJ6AKlL0VbSFAQeE5Fa1Wquwh4sMLCac8tZ09J6Bfl8YW8bnGcO64np4zoQUy459PsFbVWlmw+yOKNhXz3ZyGHqgOn2NtPf59Kt/gmpW6/e1CbZu8sMWnQ7wQtYbDPFDDp197XVVcJ6z/Sdk/k/+qzIYa0lL5wyUKIcplXowIPAP/036BEsJCgIDBdBzzl6uT2g5Wc+cJPFFUGeB/4ABZtNnLy8B6cP74ned3j2/Rcm11l1a5Svv+zkB+2HGR9Qbm7pnU+t/z2qfRIbBIULHkUvnvAfwNQFEgfDDnHwIATIXOMZ7sHmtrzM6x5C9Z9GJolif0lrrsWECS4LGEM2uvL//w0IhFkJCgIXI8Cf3N1cn1BGWe/sIIKqWHQYSOyEjhvfE9mDu3evFywh4orLSzbWsSyrUWs3X2IbQcrnZP/fOiH246mZ1KTFaelj2vZ+b6iGLQgIHuy9ug1ESIT236fqiKtlfGat+Dgn94fZ1cTmQgXfwVpA91d9SRwE7RsmCGERoKCwGVAqz9+tqsLVu4o5i+v/kytNTDXuoNNfGQYp4/K5NQRPRjco22zB01VWupZt7eM3/Yc4rf8Q/yeX0Z+qe+We76/9SiyU6IbDyx/Cr724sxwXHfIGAIZQ7W16p4TITKhffey27SEwdVvweavwBY4yzBBLSxS65jYU7dAaoO30UoYywuGcEmCgsAWDiwAjnJ1wbebCrnizV+Ddo99oMpMjGT64AxOGNyNUb3a8Sm4heJKC7/ll/HH3jJ2FlWxu6Sa3SXVXtndsPiWKeSkNkkoW/EsLPh7228UmahVE0zO0QKAjKFaMBDt+c4Nl0p3ajMCa9+Gcunp4VUGE5w9F/pNd3fVQrTEQllzFG5JUBD4EtB6JAx1dcEna/dy4ztrO3VdO5SlxYZz/KAMpg/OYHyfZIytlFNui5o6G3tKq9njCBL2lFSzp7SG0qo6Kmrrqai1UlFbT2Vdvct/30U3HUm/ps2hfn4Rvmyy8mSK0N7wo5IgMkn7OiZNCwASsyGhFyT2goj2z444qa+FXT/B9u9g27da1UH5AfU+Yxic/hoMnOXuqpXAMUCVfwYlgpkEBcEhA1gG5Li64MPV+fzt/d+xyYyBTyVGhXFsXjrTBqYzrk8y8ZHumzF5U0OA0BAsWG0qigJDM+OJMjfZSVFdAlUHwRytBQKtdRb0lgPrYNt32mP3j2CVHTI+ZQyDM16HATPdXbUJmAwEfz1v4RcSFASP3miBQXdXFyxYt5/r562hziZLhv5gUGBgtzgm5qQwMSeZUdmJxLXSsTGkVBY2zgRs/x4q9nf2iLoOoxnOfAP6n+juqnxgErDbP4MSoUCCguAyCPgBSHJ1wZI/C7lyzipJPuwEBgX6pccyqlfi4Uev5OjWnxgM6i1QtFnbJbDvNy0QKFwvSwKdwRSu9TRwn0NQAhwBbPDPoESokKAg+IwDFgMu321W7ijm0td/lZbLASDKbCQnNYa+6TH0TYshNy2Wvmkx9EyKarXVc6ew1kDRFji4UQsADm7SHqU7tZ0DXlRWq3LTwlo2Ftn56VLnH+ftpXae/aWORdvq2VVmx2RQyE1SuHykmYuGh2Fqx9/fom31XPRxDa+eHMn0XOfiVfV2lfuWWHjjNyv7KlSyEwzcPMHMVaOdKzFuOGhj+PNVXDvWzOPHt6FAU0eYwuGsudB3mruryoDjgJ/9MygRSiQoCE5HA5/johwywNo9h7jotZ8DqvKeaBRuMpCTGkNuWgy9U6JJjjGTEhPueGhfx/kiX8Fer9UHqC7WHuUFjW/8hZvg0C5QfTvLVG1VeXl1Hff/UMfBapVxPYysuMw5KDj/wxrmrbOSnaCQFWfgQJXKpiJtbLP6mfj0HM9zJVbvs3HfEguf/KkFyl+dF6UbFFz2aQ2vrLGSHq3QN9nAHwdslFngvTMiOT2v8d9DVVWOeK2aPeV21l8dQ4zZDwGeKQLOflsrG+3aIWAaIOUgRbsEQTs1oeM7tP/4X6I1UnIyPCuB+VeM54KXf+ZgZeA39elqLPV2Nuwrd9uRMdxkIDnaTLIjWIg0GzAZDBgUBZNRwWhQMCqOXx0Pg6JQU1fP308cSLReGeflT/m2sFErbllYy2tr6yithYwY92+kpw4wce9R4eQkNVZHXLKznulzq/lscz1LdtYzJdv9S9ivBTau/bKWlXttmI2QFKlQUqP/QWh3mZ1X11g5KtvIl+dGERmmUFhlZ8QLVTz2Y12zoODFVVaW77Hx2TmR/gkIwmO1GYI+U9xdVQocC6z2/YBEqJKgIHj9CEwFFgG6Rc4HZMTx7lUTOO+lFRSU1fp1cKLjLPV2Cspq2/Vvd+3UXP2gICLOCyNrvw82WjEoCo8ca2Z4hpHj51S7vHZ2nvNMyZRsE8f0NvHFFm1JoTXrCm2s3GtjWh8j/zctghsW1LJkl/4yyC97bajANWPMRIZpb/Rp0QZOHxjG6781bu/fX2nnjsW1nJ5nYmY/PySWxmbAee9pdSNcK0ELCNb4fkAilElQENxWA0cC3wDd9C7onRLNu1dN4PyXV7Kz2PULsAgt1XUu1v+9WYugHV6cFcnknkaiwhS+39m+nJcyi/ZJv39y6/0VJmUZWffXaAaltV6+uiFFwdjig79dVZvlU96woBZVhaem+yGPIKUvnP+BVkvCtWK0OgS/+X5AItS1sWuJCEAb0PYh73R1QWZiFO9dNYH+TQvciJBW5SrJNLxzZwqOyzERFda+6XZLvcp/frSwbLeN6blGxmW2/pmmb7LRo4AAYHCa9nL48hordTYtCthfaef9jfVMyNLu8dUWK++ur+fhYyPoFuvjl8+ssXDJotYCgiK0HCMJCIRXyExBaNiOtv3oG6C/3gWpsRG8e9UErp67iuVbpY5JqHPZKKuTZwra6oEfLPywu57iapUtJXYiTQp3HWHm7inhXv9efZONnJFn4r0N9fR5spI+iQZ+O2Cj2gr3TAmn2qpy9Ze1TMwycuUoHy8b9D8RTn9V62ngWiHaDME63w5GdCUyUxA68tGWElx+YoiPDOONi8dy8aRsvw1KdI7yGhe7Tjo5p6Ct1uy3sWibjVX77JRbINwEB6tUiqp9s2vq1ZMjuXJUGLX18PNeG3mpRhadH8XELBN3f2dhb7nKCzMjUBRttqPcolJj9fJYRl0MZ81pLSDYBkxEAgLhZTJTEFoK0aYSv0KrZ+DEZDRwz6xBDOwWxz8+WifVD0NUaZWLvjdBNlPw/pnatsPKOpWNB+28vraO53618tGmelZcFk2fRO9+rokxKzw/M5LnW1QOXrvfxhMr6rhjspnBaUYWbq3nxoW1bCqyY1Dg2D5GXj0pkh5xHRiPYoCp/4Qjbm7tyl+BGWj/34XwKpkpCD2laNsVv3d30Zmjs5h3xXhSY7w/DSs6X4mr+hRBFhQ0iDErjOlh5JkZkdwzJZyD1Sq3fe2fHTV2VeWKz2ronWjgH0eGs3a/jVnzqkmKVJh7WiQPTA1n6S4bF37cgV4PEfFw7jueBARfoQX+EhAIn5CgIDRVACcCX7i7aFSvRD65dhJDegTnG4VwrdhVbQpzDBg8S7wLVJeM0Nbzl+72boVFV55eWccvBXaenxFBhEnh8Z/qiDbDgvOiOHdIGHdMDufeo8L5doeNdYXtGFNqf7j8W+h7XGtXvgacDFS2/ZsI4RkJCkJXDXAK8F93F3VPiOS9qyZw0jCXfZZEEDpY4aZgVSfvQOgok+NVq6rO99VY88vt/OM7CxcOC+OYPtpq6+p9NiZlmYgNb9xF0XBuS3Ebl+MGzIDLFkNybmtXPgBcCkiJUuFTEhSEtnrgZuBiwMUiM0SEGXnqnBHcPr0/gViOX7Td/nI3U+tBuoTQ4Ovt2s6KYRm+n/G49staIkwK/zmucZnNZICoFpsPzI6heBymKAoc9XetbHG4263CduBq4B9tub0Q7SVBQdfwOnAU4La37V+PyuWlC0cTq1cJTwSVfe6qIAZBULBsdz1/W1RLUXXzT94Lt9Zz4wLtz3bd2MYmRTa7ygUf1TDz7WoqLN557/xwo5VP/qznP8eFkxLV+FI5OM3I7weaj2v1PhsGBcZ09yBQaShZfNQdrV1ZDpwEPNfWsQvRXhIUdB0/AaNppVHKMQPT+eiaSfRNi/HPqIRPHHA3UxAEywf1dnjspzoyHqtkxAuVHP1GFdlPVDB9bjWltXDbRDNnD278uL5mv505v1v5Yks9C7d1vDtouUXl+q9qmdrbyIXDmndIvH2Sma0ldu75rpZDtSqr99m453sLl48MIyu+lZfUbsPgiu+1ZQP3NgFjaSUvSAhvk6Cga9mLVstgrruLctNi+Py6yVwyKRtFlhOCktWm4rIDahDMFIzpbuSJ48MZ3d3IvgqV5bttWGxwygAT31wQxSPTmpcYzks1MCLDQE6iwqSsji8r3Lm4luIalednOJcyHpJu5NNzIvnkz3rS/q+Ck+ZVc8HQMP53opuyx4oCE66Fy77xJH/gU7QtxX924I8gRLtI6+SuSQFuBR5xfO3Ssi1F3Preb+7XqEVA2vbgCRgNOnH/x3+FtW/7f0BdVUwanPJ8ay2PG9wL3IeWSyCE38lMQdekAv8HzERbt3Rpct8UFtx4BDOG6PZbEgHMagvemYKQkXssXLXck4CgEjgV+BcSEIhOJEFB1/Yl2jTlZncXJUSZeea8kTx+5jBJQgwiVlfVKiUo8D2jGY5/QOtwGJPW2tVb0f4ffuzzcQnRCgkKxCa0F6RPW7vwtJGZfHXjEYzrneT7UYkOs1hdBAVBkGgY1NLytNyBCdd6cvV8tATgDb4dlBCekaBAABxCK3R0BVDt7sLMxCjmXT6eO6YPwGyUH59AVmN1UV1PZgp8w2iGo++EK3/Qdhm4V4VWP+RcoMznYxPCQ/KqLhqowEvAcGCluwsNBoWrjsrh42smytbFAFZVFxrtk4NC5hi4ailMuR2MrbZVXg2MRKsfIpneIqBIUCBa2gJMRkt4clvIPa97PJ9fN5nrj8mVWYMAVFkrQYHPmaNh+sNw6SJIHeDJM/4DTKCVPB4hOou8kgs99WhboyahJUG5FB5m5OZp/Vlw4xFMzk3xy+CEZ8prXZTJl5wC78iZClf/BOP/qrU9du8AcDzaVmCXJceF6GwSFAh3VqItJ7zQ2oV9UmOYc9k4nj5nBGmx0o45EJSFWPvkgBGTDqc8Bxd8BAm9PHnG58BQYJFvByZEx0lQIFpTBVyFVoO91R7us4Z1Z/EtU7hkUjYm6a7UqUpdBgUyU9AuRjNMuhGuWwXDz/XkGUVoiYQe/d8RIhBIUCA89RkwxPGrW7ERYdw9axALbjySI/vKkkJnKa500T5ZZgrarv+JcM1KmHZva10NG7wN5AHzkGRCEUQkKBBtUQicjNbXvaS1i3PTYnjz0nG8/JfR9E6J9vngRHNFroICgwnCovw7mGCVNhAu/ATOmQdJfTx5xl5gFnAecNCnYxPCByQoEG2lAq8C/R2/turYgeksvPFI7jxxoFRE9KMDFS6CApDZgtZEJsKJ/6eVKO5zlKfPeh5tduBzn41LCB+ToEC0VxHajMERwLrWLjabDFxxZB+W3TGV64/JleDAD9w2sZKgQJ85Go64FW5YC2OvAINHHRc3A0cBf6WVXiJCBDoJCkRHLUMrxHILWlKiW/GRYdw8rT/L7pjKDcf0JS5CggNfKSitcX1Skg2bM4VrWwtv+A2O+SdEJHjyrHK0n/shwBJfDk8If5HWycKbegAPARd4+oTyGiuvLt/Bq8t2UO6q2I5otx0PnYii6OwCmXs6bPna/wMKNEYzjLwQJt8E8ZmePksFXgb+gewqECFGZgqEN+0FLgTG00qp5AZxkWHceGw/lt0xlZum9SMuUmYOvMllzN/VCxiZwmHMZdoywYz/tCUg+AEYhdYnRAICEXIkKBC+sBKYiBYgFHjyhLiIMG44pi/Lbp/KzdP6ER/Zav144QGbq6jAs+nx0BORoNUauH6tFgzE9fD0mbuAM9ByB9b4ZGxCBAD5WCZ8xQ68BXyEVtr1JqDVj6dxEWFcf0xfLp6UzRs/7uKVZdtdF+ERrbLa7ITp9aXoajkFib1h/FUw4nwwt6mJVznwKPA44CZJQ4jQIDkFwl8SgRuAGwGPU98tVhtf/LGPuSt3s2pXqa/GFrLW3D2NxCiz84ll/4Vv/uX38fhd1jiYcC0MnOlJf4KmqoGngP/Dg5ocQoQKmSkQ/lKK1nnxCeB6tJmDhNaeFB5m5LSRmZw2MpNN+8uZu2I3H63ZS6VFkhI9UWt10egylHMKDEYYeBJMuEZradw2dWi9Ph4E9nt9bEIEOJkpEJ0lnsbgILEtT6yy1PPJ2gLmrtzF+gLZFu7O4lumkJOqM13+x/vwwaX+H5AvJefAiAtg2DkQm9HWZ9cBLwIPoyXMCtElSVAgOlsccB1wM5DU1iev3XOIuSt28dnvBdRa7V4fXLD79NpJDM1McD6xZRHMPcPv4/G6sCjIOxlGXgC9JrXnDrVo2wvbFQwoipIL5AKLVVWV5BcR9CQoEIEiDrgWrRhMm4OD8horH6zO5+2Vu9lSWOn1wQWruZeNY1KuTlOqPSvhleP8PyBv6TESRlwIQ2a3dymkEHgGeI4O9ChQFOVfwD1AqqqqRY5jOcA0D57+jaqqW1u5vxEIdzwigagmj1i0Gbd4YLmqqpva+ccQ4jDJKRCBohxtHfdp4GrHo6enT46LDOPiSb25eFJvthyo4Kt1+1m4fn+XX14or3HVPjkIyxyn9NNmBQafBml57b3LBrSdBHPRZgl8YRTwP8fXBkABWiZ3GIFTgK2KokwB5qO9Hpsc50xogYC77Mh6tCqilWgzHRIUiA6ToEAEmgrgEeAx4ATgKuBEtBdWj/RNj6VveizXH9OXXcVVLHAECGv2HHJdzCdElVbX6Z8IlkTDtDwtEMg7WetY2H5fowUDC+lgK2NFUc6gcQfNSMev5yuK0jBF9baqqibHtW8Ax6qq2qPJ80cBv6L9rAOsBu5Ey2uwAhbH1xbHYzZa7s0g4BDazogqWa4QviBBgQhUNrRuc58DvdAqyF0KpLflJr2So7lySg5XTslhX1kNC9cfYOG6/fy8swSbPfQjhBJXNR4CeaYgY0hjIJDSryN3qgHeAf4L/O6VsWkeAnJaHPtvk68XoL1xg9ZNdHuLaxv+8ssURUlHS7T9yc33a5jRMKEts8UB+uWrYbeqqtV6J4TwhAQFIhjsAu4C7gVORps9mNrWm3SLj+SiidlcNDGb4koLX288wII/9vPjtmLqbKGZpFjkqn2yORoMJrAHwNbOyETofSTkTIWcoyGhV0fv+AvwCtqUfFmHx+dsPI2vnbei5cEMorGeQSGAoih9gbFoQURT3Ry/FqP9TF/p4ff9zYNrpgHfeHg/IZxIoqEIVv3RXkwvoo1bGluqqbPx664SftpWzE/bivl9b1nIzCKcOCSDZ88bpX/y0d5Q3Ql1eQwmrX5AzlTt0X2Epy2K3SlBq6D5CvBHh8foIb1EQ8dxE7AYmAyMQAtODqLlC7wJHA8kqKrqYn2n2fe4EW0mIlJVVV/lQQgByEyBCF5/om1jvAutJv3lwCTakHvQINJs5Ii+qRzRNxWASks9P+/QgoRVu0pYt7c8aGcSCstdzBQAhMf7JygwhUO3YVog0GuSNisQHuuNO6vAIuBV4BO09XefUhQlG2haBKGhk9IoRVEaZiVq0Ip0HQn8G22rYxHNPdU0IFAU5Xy0oMadGhdLBqiq2uafeyH0SFAggl0N2ievN9GmZU9BS8w6Cu1TWZvFhJuYOiCNqQPSAK3U8m/5ZazeVcqvu0pYvfsQJVWtfsALCPvK3JTr91VeQWI2ZI7WgoDMMVqOgFGn1HL7qMBy4H3gAyDfWzf20K3ANTrHFzT5+nYgD20nzb2qqtoURbkULZdABTaoqrrIxf3H0piA2OBC4O/AMLQExKbOQ2vhLIRXSFAgQsk+tH3nzwHJwEloAcI0oN3vSuFhRsb2TmJs7yQa8svyS6vZcqCSLYWVbCmsYOuBSrYWVlIRYOWXD5S7mW3uaFMkoxmScyF1AKT2h25DtSAgOrVj93VmR2tZ/D5agy2POm/6yFtoOweaegzYhvZzB7AMeLXpcoKqqq96eP8tqqoeanpAUZSGFs2bWy4fKIpywMP7CuERCQpEqCoGXnM84oAZaAHCCWiFXzokMzGKzMQojnbMJjTYV1bDFkeAsKWw4nDgUOaqXoCP1dtBVVX9THVPZwrM0VqXwbQBjgDAEQQk9dHyA3zDDnxHYyAQEG9+qqquVBTlF7Sfo3Wqqu5y5BXsUFX19YbrFEW5SFGU11q5XW9VVXe2OFbqaokAN8sHQniLBAWiKygH5jkeUWhJXrOBWXjQzrktusVH0i0+kiP7Nf+0XFhey66SaooqLRRX1lFUaaGowsLByjqKKy3a7yvrfNLoyaaqmFwFBeZoiEmH+EyI6wHxPSAuE+K6N34dmeD1MbmwB62OwCLgW7TALhDFoW2V/RvaLIE7d+D855gIXOzi+hy0n9emrgTuR8tfaJk3cSla4SIhvEKCAtHVVKN98vwI7ed/FHC04zEZL8wi6EmLiyAtLqLV62qttsMBQlGlhUPVdVhtKjZ7k4eqYrNpv9bbVWx2OzY7h3+1qyrhJgPR4SaizEYUV7mXJz+jPTpPJdpswNdogcBmOlhYyE8aplgONTmWoyjKVY6v1zU5/k7L2QBFUepxHRSU6CwfVDm+LNZZPqhCCC+SoEB0ZfXASsfjYbS8g7FoAcIUtP3o0f4cUESY8fDSRAiqBH4GfkQLBFbgnDgXDBqaSexrcmy04wFaT4WWeQeekuUD0akkKBCiUR1aktgytK1kJmAI2lbHhkdWp40uuKhofQZWNHlsxLkHQDBqKLMY1uTYB2g1M0D7OTq3jffcBryBVo+g5RKBu90Hw9CCWCG8QoICIVyrB9Y4Hg0NbrKAoWgV7PKaPPw6oxBgrGhT/xvQqu6tQKsqGKrdqBqaMNyvKMoXjq/rVVU93J6zySf6HR5+uv/F8dDTsIthG84Bw1bgA0VRjKqqhkLAJTqZBAVCtM0ex+OLJscMaElgeS0eg/ByImMnq0MrGrUeLQDY4Ph6G1pg0FVMRSu9nQW8jft6GH/DuXDRZLQEQQAURRmMZ1UY3fUEX4m23CVEh0iZYyF8R0ErqDQIrSxzeotHmuPXQEkgKKYx6NmDVhio6e93o82edFmOBkb5aNP869Cm/AE+UFX19CbX9Ueb1p+rqmpFi3v0QFuWWqKqao2iKGbctwm/CK1y5yBc52DUqqrq70JOIgTJTIEQvqOiFdopQEuscyWG5kFC06/j0T6JGtH+v5qafN3y16Zf16JVxqtE6w2R4fi6zPEoAXY6xlWMVopXuuu17q9of79fqqr6vaIoKlrRotmKomwGlqIlIJaj1Vq4wrF8oND479jwb3SkoigLab0Gg8Hxq8lxTz0xiqIMQLokig6SmQIhhPCQoigXoZU6HqI6XjwVRckALkCre5ENdMfzEtt7gR5eHOI0VVWlS6JoNwkKhBDCQ4qihAFTWnvjdXRJbJgRMKDNFDR9ANhVVfVFa2ch2k2CAiGEEEIAjWtVQgghhOjiJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBCBBgRBCCCEcJCgQQgghBAD/DxNhIuiPGr9eAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "patches,_,_ =plt.pie(BMI_data['male'],radius=1,autopct='%0.1f%%',pctdistance=0.85,\n",
    "        wedgeprops={'linewidth':3,# 间隔的宽度\n",
    "                    'width':0.3, # 饼图的宽度\n",
    "                    'edgecolor':'white'},# 间隔的颜色\n",
    "        textprops={'fontsize':10},\n",
    "        labels = BMI_data.index )\n",
    "colors=[patch.get_facecolor() for patch in patches]\n",
    "\n",
    "plt.pie(BMI_data['female'],radius=0.7,autopct='%0.1f%%',pctdistance=0.55,\n",
    "        wedgeprops={'linewidth':2,'width':0.7,'edgecolor':'white'},\n",
    "           textprops={'fontsize':8},\n",
    "           colors=colors)\n",
    "\n",
    "title('男、女BMI指数比例统计\\n外圈:男  内圈:女')\n",
    "# 多行标题偷师@Qbaomei"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
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   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
